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CNeuralNetwork: Make Your Neural Network Learn Faster

, 12 Aug 2009 CPOL
An article on making neural network learn faster
Neural Network_VS
Neural Network
Neural Network-Demo.exe
Neural Network.vcproj.RIS-808E3E7FF65.exeskeleton.user
SPECT.train
// Neural Network.cpp : Defines the entry point for the console application.
//

#include "stdafx.h"
#include "Neural Network.h"


int main()
{
	CNeuralNetwork nn;
	nn.ann_set_learning_rate(0.5);
	nn.ann_set_momentum(0);
	nn.ann_set_lr_changing_factor(0);
	nn.ann_set_slope_value(1);
	nn.ann_set_weight_init_method(nn.RANDOM);
	nn.ann_create_network(2,1,1,3);
	//nn.ann_create_network(22,1,4,30,30,30,30);
	//nn.ann_train_network_from_file("SPECT.train", 500, 0.001, 1);
	nn.ann_train_network_from_file("input.txt", 500, 0.01,nn.OUTPUT_FIRST);
	printf("number of epoch: %i with final error: %f\n", nn.ann_get_epoch_num(), nn.ann_get_average_error());

	nn.ann_set_input_per_channel(0, 1.0F);
	nn.ann_set_input_per_channel(1, 1.0F);
	nn.ann_simulate();
	printf("1 XOR 1 is %f\n", nn.ann_get_output(0));

	nn.ann_set_input_per_channel(0, 0.0F);
	nn.ann_set_input_per_channel(1, 0.0F);
	nn.ann_simulate();
	printf("0 XOR 0 is %f\n", nn.ann_get_output(0));

	nn.ann_set_input_per_channel(0, 1.0F);
	nn.ann_set_input_per_channel(1, 0.0F);
	nn.ann_simulate();
	printf("1 XOR 0 is %f\n", nn.ann_get_output(0));

	nn.ann_set_input_per_channel(0, 0.0F);
	nn.ann_set_input_per_channel(1, 1.0F);
	nn.ann_simulate();
	printf("0 XOR 1 is %f\n", nn.ann_get_output(0));

	nn.ann_test_network_from_file("input.txt", "log.txt", nn.OUTPUT_FIRST);

	nn.ann_clear();
}

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This article, along with any associated source code and files, is licensed under The Code Project Open License (CPOL)

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About the Author

auralius manurung
Gyeongsang National University, South Korea
Indonesia Indonesia
from Indonesia with love... Smile | :)

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