!38 增加说明

Merge pull request !38 from 逐光/test

src/main/java/org/wlld/imageRecognition/Operation.java

@@ -4,7 +4,6 @@ package org.wlld.imageRecognition;
 import org.wlld.MatrixTools.Matrix;
 import org.wlld.MatrixTools.MatrixOperation;
 import org.wlld.config.Classifier;
-import org.wlld.config.Kernel;
 import org.wlld.config.StudyPattern;
 import org.wlld.i.OutBack;
 import org.wlld.imageRecognition.border.*;
@@ -13,7 +12,6 @@ import org.wlld.imageRecognition.segmentation.Specifications;
 import org.wlld.imageRecognition.segmentation.Watershed;
 import org.wlld.nerveCenter.NerveManager;
 import org.wlld.nerveCenter.Normalization;
-import org.wlld.nerveEntity.Nerve;
 import org.wlld.nerveEntity.SensoryNerve;
 import org.wlld.tools.ArithUtil;
 import org.wlld.tools.IdCreator;

src/main/java/org/wlld/nerveCenter/NerveManager.java

@@ -255,6 +255,8 @@ public class NerveManager {
      *
      * @param initPower 是否是第一次注入
      * @param isMatrix  参数是否是一个矩阵
+     * @param isShowLog 是否打印学习参数
+     * @param isSoftMax 最后一层是否用softMax激活
      * @throws Exception
      */
     public void init(boolean initPower, boolean isMatrix, boolean isShowLog, boolean isSoftMax) throws Exception {//进行神经网络的初始化构建

src/test/java/org/wlld/HelloWorld.java

@@ -43,7 +43,7 @@ public class HelloWorld {
         //easyAI 包持续更新，现阶段一直在优化
         Picture picture = new Picture();
         //使用精度计算
-        TempleConfig templeConfig = new TempleConfig(false, true);
+        TempleConfig templeConfig = new TempleConfig();
         //使用DNN分类器
         templeConfig.setClassifier(Classifier.DNN);
         //打印学习过程中产生的参数
@@ -80,7 +80,7 @@ public class HelloWorld {
         }
         templeConfig.getNormalization().avg();
         //三阶段学习
-        for (int i = 1; i < 1000; i++) {
+        for (int i = 1; i < 1900; i++) {
             System.out.println("study2==================" + i);
             //读取本地URL地址图片,并转化成矩阵
             Matrix a = picture.getImageMatrixByLocal("D:\\share\\picture/a" + i + ".jpg");