void testNNLineFollower()
{
NeuralNetworkLineFollower net = new NeuralNetworkLineFollower();
Console.WriteLine();
net.learn();
Console.WriteLine();
// sensors (touch, light|color, ultrasonic) and bias 1
// light sensor (0|1)
double[] inputs = { 0, 1 };
// motors B, C on/off (0|1)
double[] outputs = { 1, 0 };
net.test(inputs, outputs);
// inputs: light 0-2, 3-8, 9-100
// inputs: current position/status => light?
// desired: r1 (down), r2(pick), r3(up), r4(down), r5(drop)
// outputs: direction, speed, degree
// net.test (inputs, desired);
inputs = new double[] { 1, 1 };
outputs = new double[] { 0, 1 };
net.test(inputs, outputs);
}
void testNNLineFollower()
{
NeuralNetworkLineFollower net = new NeuralNetworkLineFollower ();
Console.WriteLine ();
net.learn ();
Console.WriteLine ();
// sensors (touch, light|color, ultrasonic) and bias 1
// light sensor (0|1)
double[] inputs = {0, 1};
// motors B, C on/off (0|1)
double[] outputs = {1, 0};
net.test (inputs, outputs);
// inputs: light 0-2, 3-8, 9-100
// inputs: current position/status => light?
// desired: r1 (down), r2(pick), r3(up), r4(down), r5(drop)
// outputs: direction, speed, degree
// net.test (inputs, desired);
inputs = new double[]{1, 1};
outputs = new double[] {0, 1};
net.test (inputs, outputs);
}
