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package org.dromara.easyai.nerveEntity;
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import org.dromara.easyai.entity.ThreeChannelMatrix;
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import org.dromara.easyai.matrixTools.Matrix;
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import org.dromara.easyai.i.OutBack;
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import java.util.List;
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import java.util.Map;
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/**
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* 感知神经元输入层
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*
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* @author lidapeng
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* @date 9:29 上午 2019/12/21
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*/
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public class SensoryNerve extends Nerve {
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public SensoryNerve(int id, int upNub, int channelNo) throws Exception {
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super(id, upNub, "SensoryNerve", 0, 0.1f, false,
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null, false, 0, 0, 0, 0, 0, 0
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, 0, channelNo, 0, false, null, 0.9f, 0.9f, false, 1);
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}
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/**
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* @param eventId 唯一的事件id
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* @param parameter 输入点的数据
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* @param isStudy 是否是学习 (学习状态没有输出)
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* @param E 标注
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* @param outBack 回调结果
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* @throws Exception
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*/
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public void postMessage(long eventId, float parameter, boolean isStudy, Map<Integer, Float> E
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, OutBack outBack) throws Exception {//感知神经元输出
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sendMessage(eventId, parameter, isStudy, E, outBack);
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}
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/**
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* @param eventId 唯一的事件id
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* @param parameter 特征图像
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* @param isKernelStudy 是否是学习 (学习状态没有输出)
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* @param E 标注
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* @param outBack 回调结果
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* @param needMatrix 需要矩阵输出
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* @throws Exception
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*/
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public void postThreeChannelMatrix(long eventId, ThreeChannelMatrix parameter, boolean isKernelStudy
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, Map<Integer, Float> E, OutBack outBack, boolean needMatrix) throws Exception {
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sendThreeChannelMatrix(eventId, parameter, isKernelStudy, E, outBack, needMatrix);
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}
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/**
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* @param eventId 唯一的事件id
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* @param parameter 多通道特征图像
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* @param isKernelStudy 是否是学习 (学习状态没有输出)
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* @param E 标注
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* @param outBack 回调结果
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* @param needMatrix 需要矩阵输出
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* @throws Exception
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*/
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public void postMatrixList(long eventId, List<Matrix> parameter, boolean isKernelStudy
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, Map<Integer, Float> E, OutBack outBack, boolean needMatrix) throws Exception {
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sendListMatrix(eventId, parameter, isKernelStudy, E, outBack, needMatrix);
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}
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@Override
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public void connect(List<Nerve> nerveList) {//连接第一层隐层神经元
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super.connect(nerveList);
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}
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@Override
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public void connectSonOnly(Nerve nerve) {
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super.connectSonOnly(nerve);
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}
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}
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