simplelayer.java
来自「一个纯java写的神经网络源代码」· Java 代码 · 共 90 行
JAVA
90 行
package org.joone.engine;import org.joone.log.*;/** This abstract class represents layers that are composed * by neurons that implement some transfer function. */public abstract class SimpleLayer extends Layer { private static final ILogger log = LoggerFactory.getLogger(SimpleLayer.class); private double lrate; private double momentum; private static final long serialVersionUID = -2579073586181182767L; /** The constructor */ public SimpleLayer() { super(); // Logging of instanciation made by the Layer } /** The constructor * @param ElemName The name of the Layer */ public SimpleLayer(String ElemName) { super(ElemName); // Logging of instanciation made by the Layer } /** * * */ protected void backward(double[] parm1) { if (monitor != null) { lrate = monitor.getLearningRate(); momentum = monitor.getMomentum(); } } /** Returns the value of the learning rate of the Layer * @return double */ public double getLearningRate() { return lrate; } /** Returns the value of the momentum of the Layer * @return double */ public double getMomentum() { return momentum; } protected void setDimensions() { inps = new double[getRows()]; outs = new double[getRows()]; gradientInps = new double[getRows()]; gradientOuts = new double[getRows()]; } public void setMonitor(Monitor parm1) { super.setMonitor( parm1); if (parm1 != null) { lrate = monitor.getLearningRate(); momentum = monitor.getMomentum(); } } /** * Needed for Save As XML */ public double getLrate() { return this.lrate; } /** * Needed for Save As XML */ public void setLrate(double newLrate) { this.lrate = newLrate; } /** * Needed for Save As XML */ public void setMomentum(double newMomentum) { this.momentum = newMomentum; } }
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