kolibrios/programs/bcc32/include/l_nnp.h

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#ifndef __L_NNP_H_INCLUDED_
#define __L_NNP_H_INCLUDED_
//
// nnp.obj - neural network perceptron (библиотека с нейросетью)
//
const unsigned long NNP_FF_BIN = 0x6e6962; //формат файла 'bin'
const unsigned long NNP_FF_JSON = 0x6e6f736a; //формат файла 'json'
struct Layer {
unsigned long c_size; // число нейронов в текущем слое
unsigned long n_size; // число нейронов на следующем слое
double* neurons;
double* biases;
double** weights;
};
struct NeuralNetwork {
double learningRate; // скорость обучения
Layer* layers; // слои
long layers_length; // число слоев
double(_stdcall*activation)(double v); // указатель на функцию активации
double(_stdcall*derivative)(double v); // указатель на функцию ???
double* errors; // массив для вычислений
double* errorsNext;
double* gradients;
double** deltas;
};
//
// nnp - import table
//
void (__stdcall* import_nnp)() = (void (__stdcall*)())&"lib_init";
void (_stdcall* NNP_Create)(NeuralNetwork* o, double learningRate, void* activation, void* derivative, unsigned long* sizes, long sizes_length) = (void (_stdcall*)(NeuralNetwork*, double, void*, void*, unsigned long*, long))&"NNP_Create";
double* (_stdcall* NNP_FeedForward)(NeuralNetwork* o, double* inputs) = (double* (_stdcall*)(NeuralNetwork*, double*))&"NNP_FeedForward";
void (_stdcall* NNP_BackPropagation)(NeuralNetwork* o, double* targets) = (void (_stdcall*)(NeuralNetwork*, double*))&"NNP_BackPropagation";
void (_stdcall* NNP_GetMemData)(NeuralNetwork* o, unsigned long fmt, void* m_data) = (void (_stdcall*)(NeuralNetwork*, unsigned long, void*))&"NNP_GetMemData";
long (_stdcall* NNP_SetMemData)(NeuralNetwork* o, unsigned long fmt, void* m_data) = (long (_stdcall*)(NeuralNetwork*, unsigned long, void*))&"NNP_SetMemData";
void (_stdcall* NNP_Destroy)(NeuralNetwork* o) = (void (_stdcall*)(NeuralNetwork*))&"NNP_Destroy";
asm{
dd 0,0
}
#endif