Evolution/NeuralNetwork.java at master · achen102/Evolution · GitHub

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package Evolution;
public class NeuralNetwork {

		private double [] _hiddenlayer;
	public NeuralNetwork() {


	}


	public double calculate(double[] _inputs, double[][]_syn0, double[][] _syn1) {
		_hiddenlayer= new double [5];

		double outputsum=0;
		//calculate value of nodes in hidden layer 1

		/*_hiddenlayer[0]=_inputs[0]*_syn0[0][0]+_inputs[1]*_syn0[0][1]+_inputs[2]*_syn0[0][2];
		_hiddenlayer[1]=_inputs[0]*_syn0[1][0]+_inputs[1]*_syn0[1][1]+_inputs[2]*_syn0[1][2];
		_hiddenlayer[2]=_inputs[0]*_syn0[2][0]+_inputs[1]*_syn0[2][1]+_inputs[2]*_syn0[2][2];
		_hiddenlayer[3]=_inputs[0]*_syn0[3][0]+_inputs[1]*_syn0[3][1]+_inputs[2]*_syn0[3][2];
		_hiddenlayer[4]=_inputs[0]*_syn0[4][0]+_inputs[1]*_syn0[4][1]+_inputs[2]*_syn0[4][2];*/
		for (int i=0; i<_hiddenlayer.length; i++) {

			for (int j =0; j<_syn0[0].length; j++) {
				_hiddenlayer[i]=_hiddenlayer[i]+(_inputs[j]*_syn0[i][j]);

			}


			double outputvalue = _hiddenlayer[i]* _syn1[0][i];
			outputsum =outputsum + outputvalue;
		}


		//puts output sum through sigmoid function & returns output
		return 1/(1+Math.exp(-outputsum));


		}


	}