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history/002_first_eye/src/main/java/com/github/drinkjava2/frog/egg/CellGroup.java

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+/*
+ * Copyright 2018 the original author or authors. 
+ * 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.
+ */
+package com.github.drinkjava2.frog.egg;
+
+import java.io.Serializable;
+import java.util.Random;
+
+/**
+ * CellGroup represents a bunch of similar nerve cells <br/>
+ * 
+ * CellGroup代表了一束相同功能和结构、分布位置相近的脑神经元，目的是为了下蛋时简化串行化海量的神经元,
+ * 只需要在egg里定义一组cellGroup就行了，不需要将海量的一个个的神经元串行化存放到egg里，这样一来Frog就不能"永生"了，因为每一个egg都不等同于
+ * 它的母体， 而且每一次测试，一些复杂的条件反射的建立都必须从头开始训练，在项目后期，有可能每个frog生命的一半时间都花在重新建立条件反射的学习过程中。
+ * 
+ * 模拟一公一母两个蛋受精，CellGroup叠加也许很fun,这样可以将不同环境训练出的蛋叠加成一个。但现在暂时不考虑。
+ * 
+ * @author Yong Zhu
+ * @since 1.0
+ */
+public class CellGroup implements Serializable {
+	private static final long serialVersionUID = 1L;
+	public Zone groupInputZone; // input distribute zone
+
+	public Zone groupOutputZone; // output distribute zone
+
+	public float cellInputRadius; // input radius of each cell
+	public float cellOutputRadius; // output radius of each cell
+
+	public float cellQty; // how many nerve cells in this CellGroup
+
+	public float inputQtyPerCell; // input qty per cell
+	public float outputQtyPerCell; // output qty per cell
+
+	public long fat = 0; // if activate times=0 ,this cellgroup may be ignored in egg
+	public boolean inherit = false; // set to true if is inherited from egg, not by random
+
+	private static final Random r = new Random();
+
+	public CellGroup() {
+
+	}
+
+	public CellGroup(CellGroup g) {// clone old CellGroup
+		groupInputZone = new Zone(g.groupInputZone);
+		groupOutputZone = new Zone(g.groupOutputZone);
+		cellInputRadius = g.cellInputRadius;
+		cellOutputRadius = g.cellOutputRadius;
+		cellQty = g.cellQty;
+		inputQtyPerCell = g.inputQtyPerCell;
+		outputQtyPerCell = g.outputQtyPerCell;
+		fat = g.fat;
+		inherit = g.inherit;
+	}
+
+	public CellGroup(float brainWidth, int randomCellQtyPerGroup, int randomInputQtyPerCell, int randomOutQtyPerCell) {
+		inherit = false;
+		groupInputZone = new Zone(r.nextFloat() * brainWidth, r.nextFloat() * brainWidth,
+				(float) (r.nextFloat() * brainWidth * .01));
+		groupOutputZone = new Zone(r.nextFloat() * brainWidth, r.nextFloat() * brainWidth,
+				(float) (r.nextFloat() * brainWidth * .01));
+		cellQty = 1 + r.nextInt(randomCellQtyPerGroup);
+		cellInputRadius = (float) (0.001 + r.nextFloat() * 2);
+		cellOutputRadius = (float) (0.001 + r.nextFloat() * 2);
+		inputQtyPerCell = 1 + r.nextInt(randomInputQtyPerCell);
+		outputQtyPerCell = 1 + r.nextInt(randomOutQtyPerCell);
+	}
+
+}