package tv.floe.metronome.classification.neuralnetworks.input;
import static org.junit.Assert.*;
import org.junit.Test;
import tv.floe.metronome.classification.neuralnetworks.core.neurons.InputNeuron;
import tv.floe.metronome.classification.neuralnetworks.core.neurons.Neuron;
public class TestWeightedSum {
@Test
public void testCalculate() throws Exception {
Neuron input_layer_neuron_0 = new InputNeuron();
Neuron input_layer_neuron_1 = new InputNeuron();
Neuron input_layer_neuron_2 = new InputNeuron();
Neuron middle_layer_neuron_0 = new Neuron();
Neuron middle_layer_neuron_1 = new Neuron();
Neuron middle_layer_neuron_2 = new Neuron();
middle_layer_neuron_0.addInConnection(input_layer_neuron_0, 1.0);
middle_layer_neuron_1.addInConnection(input_layer_neuron_0, 1.0);
middle_layer_neuron_1.addInConnection(input_layer_neuron_1, 1.0);
middle_layer_neuron_2.addInConnection(input_layer_neuron_0, 1.0);
middle_layer_neuron_2.addInConnection(input_layer_neuron_1, 1.0);
middle_layer_neuron_2.addInConnection(input_layer_neuron_2, 1.0);
input_layer_neuron_0.setInput(0.2d);
input_layer_neuron_1.setInput(0.2d);
input_layer_neuron_2.setInput(0.3d);
/*
assertEquals( 0.2f, input_layer_neuron_0.getNetInput(), 0.0001f );
input_layer_neuron_0.calcOutput();
double n0_out = input_layer_neuron_0.getOutput();
assertEquals(0.2f, n0_out, 0.000001f);
*/
// ------ test: Middle Layer > Neuron 1 ----------
input_layer_neuron_0.calcOutput();
input_layer_neuron_1.calcOutput();
// System.out.println("\n\n\n> CalcOutput --------");
middle_layer_neuron_1.calcOutput();
double n1_1_out = middle_layer_neuron_1.getOutput();
// System.out.println("> CalcOutput --------\n\n");
// assertEquals(0.4f, n1_1_out, 0.000001f);
System.out.println("out: " + n1_1_out );
// ------ test: Middle Layer > Neuron 2 ----------
input_layer_neuron_2.calcOutput();
middle_layer_neuron_2.calcOutput();
double n2_1_out = middle_layer_neuron_2.getOutput();
// System.out.println("> CalcOutput --------\n\n");
// assertEquals(0.7d, n2_1_out, 0.000001f);
System.out.println("out: " + n2_1_out );
}
}