[C++] Zwalnianie pamieci ?

Witam,

moj problem polega na tym iż program systematycznie powieksza swoj rozmiar zajetej pamieci. Od razu przyznam ze jestem baardzo poczatkujacy i chyba czasami nie rozumiem pelne idei programowania obiektowego... Program juz jest przeniesiony z Dev C do QT 4.5 do trybu graficznego ale w obu przypadkach powiekszana jest ilosc zajmowanej pamieci. W kodzie oczywiscie nie widze zadnych bledow...

#include <iostream.h>
#include <stdlib.h>
#include <time.h>
#include <math.h>
#include <fstream.h>

#define RANDOM_CLAMP    (((float)rand()-(float)rand())/RAND_MAX)  //zwraca float z  przedzialu -1 1
#define RANDOM_NUM		((float)rand()/(RAND_MAX+1))      // zwraca float z przedzialu 0 1


class Dendryt
{
    public:
    double d_waga;                  // waga neuronu
    unsigned long d_wskazuje;       // index neuronu do ktorego odwoluje sie w nastepnej warstwie

        Dendryt(double waga=0.0, unsigned long wskazuje=0)      // Konstruktor
        {
        d_waga=waga;                                           //inicjuje wartosci
        d_wskazuje=wskazuje;
        }
 };


class Neuron
{
    public:
    unsigned long n_ID;   //ID poszczegolnego neuronu w sieci uzywane do
                          //odnalezienia poszczegolnego neuronu w macierzy
    double n_wartosc;     //wartosc neuronu
    double n_bias;        //bias
    double n_delta;       //delta (backpropagation)

    Dendryt *Dendryty;    //Dendryty


        Neuron(unsigned long ID=0,double wartosc=0.0,double bias=0.0)   //Konstruktor
        {
        n_ID=ID;                                                       //inicjuje wartosci
        n_wartosc=wartosc;
        n_bias=bias;
        n_delta=0.0;
        }


        void UstawDendryty(unsigned long dendryt)     // ustawia dendryty z  neuronu do danego dendrytu
        {
        Dendryty = new Dendryt[dendryt];

            for(int i=0;i<dendryt;i++)
            {
            Dendryty[i].d_wskazuje=i;               //inicjalizuje dendryt do zalaczenia z nastepna warstwa
            }
        }
};


class Warstwa
{
    public:
    Neuron *Neurony;     // Wskaznik na macierz neuronow


        void Inicjalizacja(unsigned long rozmiar)
        {
            Neurony = new Neuron[rozmiar];          // inicjalizuje macierz warstw rozmiarem
        }

        ~Warstwa()
        {
            delete Neurony;                         // destruktor
        }

        Neuron GetNeuron(unsigned long index)
        {
            return Neurony[index];
        }

       void SetNeuron(Neuron neuron,unsigned long index)
       {
           Neurony[index]=neuron;
       }

};



class Siec
{
    public:

        double siec_wspolczynnik_uczenia;        // eta
        Warstwa *Warstwy;                        // laczna ilosc warstw w sieci
        unsigned long siec_liczba_warstw;        // ilosc warstw
        double *siec_wejscia;                    // macierz wejsc sieci
        double *siec_wyjscia;                    // macierz wyjsc sieci
        unsigned long *siec_warstwy;             // miacierz mowiaca ile neuronow jes w poszczegolnej warstwie

        Siec()
        {
            // pusty konstruktor
        }



        int UstawDane(double wspolczynnik_uczenia,unsigned long warstwy[],unsigned long liczba_warstw)
        {
            if(liczba_warstw<2)
            return(-1);

        siec_wspolczynnik_uczenia=wspolczynnik_uczenia;
        siec_warstwy = new unsigned long [liczba_warstw];    // inicjalizuje macierz warstw
        Warstwy= new Warstwa[liczba_warstw];

            for(int i=0;i<liczba_warstw;i++)
            {
               siec_warstwy[i]=warstwy[i];
               Warstwy[i].Inicjalizacja(warstwy[i]);        // Inicjazlizuje poszczegolne warstwy rozmiarem
            }

        siec_wejscia= new double[warstwy[0]];
        siec_wyjscia= new double[warstwy[liczba_warstw-1]];
        siec_liczba_warstw=liczba_warstw;

        return 0;
        }


        int UstawWejscia(double wejscia[])                   // metoda ustawiajaca wejscia
        {

            for(int i=0;i<siec_warstwy[0];i++)
            {
            Warstwy[0].Neurony[i].n_wartosc=wejscia[i];
            }
        return 0;
        }


        void LosujWagi(void)
        {
        int i,j,k;

        for(i=0;i<siec_liczba_warstw;i++)
            {

                for(j=0;j<siec_warstwy[i];j++)
                {
                if(i!=(siec_liczba_warstw-1))                               //osttania warstwa nie wymaga wag
                    {
                    Warstwy[i].Neurony[j].UstawDendryty(siec_warstwy[i+1]); // inicjalizuje dendryty

                        for(k=0;k<siec_warstwy[i+1];k++)
                        {
                        Warstwy[i].Neurony[j].Dendryty[k].d_waga=GetRand(); // wagi sa losowane przez metode GetRand()
                        //cout << i << "  " << j << "  " << k << "    " << Warstwy[i].Neurony[j].Dendryty[k].d_waga << "\n";
                        }
                        //system("pause");
                    }

                if(i!=0)            // Pierwsza warstwa nie  potrzebuje Biasu
                    {
                    Warstwy[i].Neurony[j].n_bias=GetRand();            //tutaj bias przyjmuje watrosc losowa z przedizlu (-1,1) w literaturze spotyka sie wartosc stala biasu rowna 1...
                    }

                }

            }

        }


        double * GetOutput(void)
        {
        double *wyjscia;
        int i,j,k;

        wyjscia= new double[siec_warstwy[siec_liczba_warstw-1]];     //tymczasowa macierz wyjsc

        for(i=1;i<siec_liczba_warstw;i++)
        {
           for(j=0;j<siec_warstwy[i];j++)
           {
           Warstwy[i].Neurony[j].n_wartosc=0;

                for(k=0;k<siec_warstwy[i-1];k++)
                {


                Warstwy[i].Neurony[j].n_wartosc=Warstwy[i].Neurony[j].n_wartosc+Warstwy[i-1].Neurony[k].n_wartosc*Warstwy[i-1].Neurony[k].Dendryty[j].d_waga;   // mnozy i doddaje do wyjsc

            }

           Warstwy[i].Neurony[j].n_wartosc=Warstwy[i].Neurony[j].n_wartosc+Warstwy[i].Neurony[j].n_bias;    //dodaje bias
           Warstwy[i].Neurony[j].n_wartosc=Funkcja_Aktywacji(Warstwy[i].Neurony[j].n_wartosc);            //Funkcja aktywacji

           }
        }

        for(i=0;i<siec_warstwy[siec_liczba_warstw-1];i++)
        {
            wyjscia[i]=Warstwy[siec_liczba_warstw-1].Neurony[i].n_wartosc;
        }

        return wyjscia;

       }


        void Update(void)
        {
            GetOutput();
        }


        double Funkcja_Aktywacji(double value)                //funkcja aktywacji (wartosci pomiedzy 1 i -1
        {
            return (1.0/(1+exp(-/*BETA*/value)));           // tutaj mozna dodac parametr BETA (nachylenie funkcji)
        }


        double GetRand(void)            // do ograniecia!!!
        {
            time_t timer;
            struct tm *tblock;
            timer=time(NULL);
            tblock=localtime(&timer);
            int seed=int(tblock->tm_sec+100*RANDOM_CLAMP+100*RANDOM_NUM);
            //srand(tblock->tm_sec);
            srand(seed);
            return (RANDOM_CLAMP+RANDOM_NUM);
        }


        double SigmaDelta(unsigned long warstwa_num, unsigned long neuron_num)
        {
        double wynik=0.0;


        for(int i=0;i<siec_warstwy[warstwa_num+1];i++) //przejdz przez wsztskie nuerony nastepnej wartswy
        {
            wynik=wynik+Warstwy[warstwa_num].Neurony[neuron_num].Dendryty[i].d_waga*Warstwy[warstwa_num+1].Neurony[i].n_delta; // oblicza sume
        }

        return wynik;
        }


        double Ucz(double wejscia[],double wyjscia[])
        {
        int i,j,k;
        double Cel, Aktualny, Delta, RMS=0,ERMS=0;


        UstawWejscia(wejscia);   //ustawia wejscia

        Update();               //aktualizuje wszytskie wartosci


        for(i=siec_liczba_warstw-1;i>0;i--)     //idz od ostatniej do pocztaktowej warstwy
        {
            for(j=0;j<siec_warstwy[i];j++) //przejdz przez wszytskie neurony
            {

                if(i==siec_liczba_warstw-1)
                {
                    Cel=wyjscia[j];                             // wartosc docelowa
                    Aktualny=Warstwy[i].Neurony[j].n_wartosc;   // waktualna wartosc
                    RMS = RMS + (0.5*(Aktualny-Cel)*(Aktualny-Cel));
                    Delta=(Cel-Aktualny)*Aktualny*(1-Aktualny); // funkcja liczaca blad
                    Warstwy[i].Neurony[j].n_delta=Delta;

                    for(k=0;k<siec_warstwy[i-1];k++)
                    {
                        Warstwy[i-1].Neurony[k].Dendryty[j].d_waga += Delta*siec_wspolczynnik_uczenia*Warstwy[i-1].Neurony[k].n_wartosc; // Liczy nowe wagi
                    }

                Warstwy[i].Neurony[j].n_bias= Warstwy[i].Neurony[j].n_bias + Delta * siec_wspolczynnik_uczenia*1;    //n_wartosc jest zawsze 1 dla biasu
                }

                else
                {
                    Aktualny=Warstwy[i].Neurony[j].n_wartosc;                    // wartosc aktualna
                    Delta= Aktualny * (1 - Aktualny) * SigmaDelta(i,j);         // funkcja liczaca blad

                    for(k=0;k<siec_warstwy[i-1];k++)
                    {
                        Warstwy[i-1].Neurony[k].Dendryty[j].d_waga += Delta * siec_wspolczynnik_uczenia * Warstwy[i-1].Neurony[k].n_wartosc;   // licz nowe wagi
                    }

                if(i!=0)    // wejscie nie ma biasu
                    {
                    Warstwy[i].Neurony[j].n_bias= Warstwy[i].Neurony[j].n_bias + Delta*siec_wspolczynnik_uczenia*1;     // n_wartosc jest zawsze 1 dla biasu
                    }

                }

            }
            
        }
        return RMS;
        }


        ~Siec()         //destruktor
        {
        delete Warstwy;
        }


};






int main(void)
{
    ofstream plik;
    plik.open ("plik.txt");
 

    Siec Daisy;

    unsigned long inp=70;           // ilosc neuronow w warstiwe wejsciowej
    unsigned long hid=30;            // ilosc neuronow w warstwie ukrytej
    //unsigned long hid2=10;
    unsigned long outp=26;          // ilosc neuronow w warstiwe wyjsciowej
    unsigned long warstwy[3];       // ilosc warstw

    warstwy[0]=inp;
    warstwy[1]=hid;
    //warstwy[2]=hid2;
    warstwy[2]=outp;

    //cout << warstwy[0] << "\n" << warstwy[1] << "\n" << warstwy[2] <<"\n" ;

    int i=0,j=0;
    unsigned int epoka=0;


    //cout << "Podaj ilosc epok: " ;
    //cin >> epoka;

    Daisy.UstawDane(0.8,warstwy,3);      //  (wspolczynnik uczenia,warstwy,liczba warstw)

    double wejscie[]={1,0};
    double *wyjscia;
    double blad;

    Daisy.LosujWagi();


    //WEKTORY WEJSCIOWE I WYJSCIOWE
    double tr_inp[26][71]={{0.0,1.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,0.0,0.0,1.0,
                  1.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,1.0,0.0,1.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,1.0,1.0,1.0,1.0,1.0,
                  1.0,1.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,1.0}, //A
                  {1.0,1.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,
                  0.0,1.0,1.0,1.0,1.0,1.0,0.0,0.0,1.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,
                  0.0,0.0,1.0,1.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,1.0},
                  {0.0,1.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,
                  0.0,1.0,0.0,1.0,1.0,1.0,0.0,0.0,1.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,
                  0.0,0.0,1.0,1.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,1.0},
                  {1.0,1.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,
                  0.0,1.0,1.0,1.0,1.0,1.0,0.0,0.0,1.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,
                  0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,1.0},
                  {1.0,1.0,1.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,
                  0.0,0.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,
                  0.0,0.0,1.0,1.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,1.0},
                  {1.0,1.0,1.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,
                  0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,
                  0.0,0.0,1.0,1.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,1.0},
                  {0.0,1.0,1.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,1.0,1.0,1.0,1.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,
                  0.0,1.0,0.0,1.0,1.0,1.0,0.0,0.0,1.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,
                  0.0,0.0,1.0,1.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,1.0},
                  {1.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,
                  0.0,1.0,1.0,0.0,0.0,0.0,1.0,0.0,1.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,
                  0.0,0.0,1.0,1.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,1.0},
                  {0.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,
                  0.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,1.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,
                  0.0,0.0,1.0,1.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,1.0},
                  {1.0,1.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,
                  0.0,1.0,0.0,1.0,1.0,1.0,0.0,0.0,1.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,
                  0.0,0.0,1.0,1.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,1.0},
                  {1.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,1.0,0.0,1.0,0.0,1.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,
                  1.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,
                  0.0,0.0,1.0,1.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,1.0},
                  {1.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,
                  0.0,0.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,
                  0.0,0.0,1.0,1.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,1.0},
                  {1.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,0.0,1.0,0.0,1.0,1.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,
                  0.0,1.0,1.0,0.0,0.0,1.0,1.0,0.0,1.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,0.0,
                  0.0,1.0,1.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,1.0},
                  {1.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,1.0,1.0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,
                  0.0,1.0,1.0,0.0,0.0,1.0,0.0,0.0,1.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,0.0,
                  0.0,1.0,1.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,1.0},
                  {0.0,1.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,
                  0.0,1.0,0.0,1.0,1.0,1.0,0.0,0.0,1.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,0.0,
                  0.0,1.0,1.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,1.0},
                  {1.0,1.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,
                  0.0,1.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,1.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,0.0,0.0,
                  1.0,1.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,1.0},
                  {0.0,1.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,1.0,1.0,0.0,0.0,1.0,
                  0.0,0.0,1.0,1.0,0.0,1.0,0.0,1.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,0.0,0.0,
                  1.0,1.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,1.0},
                  {1.0,1.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,0.0,1.0,0.0,0.0,1.0,0.0,0.0,1.0,
                  0.0,1.0,0.0,0.0,0.0,1.0,0.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,0.0,0.0,
                  1.0,1.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,1.0},
                  {0.0,1.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0,0,0.0,0.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,
                  1.0,0.0,1.0,1.0,1.0,0.0,0.0,1.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,0.0,0.0,
                  1.0,1.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,1.0},
                  {1.0,1.0,1.0,1.0,1.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,
                  0.0,0.0,0.0,1.0,0.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,0.0,0.0,
                  1.0,1.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,1.0},
                  {1.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,
                  1.0,0.0,1.0,1.0,1.0,0.0,0.0,1.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,0.0,0.0,
                  1.0,1.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,1.0},
                  {1.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,1.0,
                  0.0,0.0,0.0,1.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,0.0,0.0,
                  1.0,1.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,1.0},
                  {1.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,1.0,1.0,0.0,1.0,0.0,1.0,1.0,1.0,0.0,1.0,
                  1.0,1.0,0.0,0.0,0.0,1.0,0.0,1.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,0.0,0.0,
                  1.0,1.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,1.0},
                  {1.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,
                  1.0,1.0,0.0,0.0,0.0,1.0,0.0,1.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,0.0,0.0,
                  1.0,1.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,1.0},
                  {1.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,1.0,0.0,1.0,0.0,1.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,
                  0.0,0.0,0.0,1.0,0.0,0.0,0.0,1.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,0.0,0.0,
                  1.0,1.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,1.0},
                  {1.0,1.0,1.0,1.0,1.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,
                  0.0,1.0,1.0,1.0,1.0,1.0,0.0,1.0,1.0,1.0,0.0,1.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,1.0,1.0,1.0,1.0,1.0,1.0,1.0,0.0,0.0,0.0,
                  1.0,1.0,0.0,0.0,0.0,1.0,1.0,0.0,0.0,0.0,1.0} }; //Z



    double tr_out[26][26]={{1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0 ,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0, 0.0,0.0,0.0,0.0,0.0,0.0 }, //A
                           {0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0 },
                           {0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0 },
                           {0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0 },
                           {0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0 },
                           {0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0 },
                           {0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0 },
                           {0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0 },
                           {0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0 },
                           {0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0 },
                           {0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0 },
                           {0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0 },
                           {0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0 },
                           {0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0 },
                           {0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0 },
                           {0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0 },
                           {0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0 },
                           {0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0 },
                           {0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0 },
                           {0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0 },
                           {0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0 },
                           {0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0 },
                           {0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0 },
                           {0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0,0.0 },
                           {0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0,0.0 },
                           {0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0 } }; //Z

    // NAPISAC METODE WCZYTUJACA Z PLIKU


    cout << " \n Ucze..";
    double blad_epoki;
    
   
    do
    { 
        blad_epoki=0;                        
        for(j=0;j<26;j++)
        {

            //Daisy.Ucz(tr_inp[j],tr_out[j]);     //Proces uczenia Backprop
            blad = Daisy.Ucz(tr_inp[j],tr_out[j]);
            blad_epoki=blad_epoki+blad;
        }
        blad_epoki=blad_epoki/26;
        
        //cout << "\n Blad sieci: " << blad << "      EPOKA : " << epoka  << "\n";
        cout << blad <<"\n ";     
        
        plik  << epoka << " " <<   blad ;
        plik  << endl;
        
    }while(blad_epoki>0.000001);
    
    cout << "\n Blad sieci: " << blad << "      EPOKA : " << epoka  << "\n";
    system("pause");

    
    cout << " \n Koniec nauki..";

    cout<<"\n\n testuje... \n";

    for(j=0;j<26;j++)
    {
          cout<<"\n\nLitery  : "<<j+1;

          Daisy.UstawWejscia(tr_inp[j]);
          wyjscia=Daisy.GetOutput();

          for(i=0;i<inp;i++)
          {
            cout<<"\nIn"<<i+1<<" : "<<tr_inp[j][i];
          }

          for(i=0;i<outp;i++)
          {
                  cout<<"\nOut"<<i+1<<" : "<<wyjscia[i];
          }

          delete wyjscia;
          double *wyjscia;
          cout <<"\n";
          system("PAUSE");
     }

      cout<<"\n\n\n\n";

      


system("PAUSE");
}

,

1. Czy wywolujac metode Ucz w petli zmienne beda ciagle tworzone i beda zabierac dodatkowa pamiec czy beda nadpisywane?

double Ucz(double wejscia[],double wyjscia[])
{
int i,j,k;
double Cel, Aktualny, Delta, RMS=0,ERMS=0;

widzę Dendryty = new ... a nie widzę delete [] Dendryty;

Wycieki pamięci to poważna sprawa i raczej trudna do znalezienia, szczególnie w kodzie początkującego.
Naprawdę uważasz, że komuś się będzie chciało rozszyfrowywać twoją gmatwaninę kodu?
Na szczęście błąd wygląda na oczywisty.

Jak już stosujesz Qt to czemu nie skorzystasz z QList<typ>?
Ten typ będzie już odpowiedzialny za zarządzenie pamięcią.
Do kolorowania składni użyj taga: <cpp>.
Czy ty naprawdę stosujesz takie długi linie? Zlituj się nad nami i pozawijaj te wiersze.