/*
* Encog(tm) Examples v3.0 - Java Version
* http://www.heatonresearch.com/encog/
* http://code.google.com/p/encog-java/
* Copyright 2008-2011 Heaton Research, Inc.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*
* For more information on Heaton Research copyrights, licenses
* and trademarks visit:
* http://www.heatonresearch.com/copyright
*/
package org.encog.examples.neural.lunar;
import org.encog.ml.data.MLData;
import org.encog.ml.data.basic.BasicMLData;
import org.encog.neural.networks.BasicNetwork;
import org.encog.util.arrayutil.NormalizationAction;
import org.encog.util.arrayutil.NormalizedField;
public class NeuralPilot {
private BasicNetwork network;
private boolean track;
private NormalizedField fuelStats;
private NormalizedField altitudeStats;
private NormalizedField velocityStats;
public NeuralPilot(BasicNetwork network, boolean track)
{
fuelStats = new NormalizedField(NormalizationAction.Normalize, "fuel", 200, 0, -0.9, 0.9);
altitudeStats = new NormalizedField(NormalizationAction.Normalize, "altitude", 10000, 0, -0.9, 0.9);
velocityStats = new NormalizedField(NormalizationAction.Normalize, "velocity", LanderSimulator.TERMINAL_VELOCITY, -LanderSimulator.TERMINAL_VELOCITY, -0.9, 0.9);
this.track = track;
this.network = network;
}
public int scorePilot()
{
LanderSimulator sim = new LanderSimulator();
while(sim.flying())
{
MLData input = new BasicMLData(3);
input.setData(0, this.fuelStats.normalize(sim.getFuel()));
input.setData(1, this.fuelStats.normalize(sim.getAltitude()));
input.setData(2, this.fuelStats.normalize(sim.getVelocity()));
MLData output = this.network.compute(input);
double value = output.getData(0);
boolean thrust;
if( value > 0 )
{
thrust = true;
if( track )
System.out.println("THRUST");
}
else
thrust = false;
sim.turn(thrust);
if( track )
System.out.println(sim.telemetry());
}
return(sim.score());
}
}