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