diff --git a/src/main/java/org/wlld/recommend/RecommendCodeManager.java b/src/main/java/org/wlld/recommend/RecommendCodeManager.java
index 2647092..45a3310 100644
--- a/src/main/java/org/wlld/recommend/RecommendCodeManager.java
+++ b/src/main/java/org/wlld/recommend/RecommendCodeManager.java
@@ -8,17 +8,16 @@ import org.wlld.rnnNerveCenter.NerveManager;
 import org.wlld.rnnNerveEntity.SensoryNerve;
 import org.wlld.tools.IdCreator;
 
-import java.util.ArrayList;
 import java.util.HashMap;
 import java.util.List;
 import java.util.Map;
 import java.util.concurrent.locks.ReentrantReadWriteLock;
 
 public class RecommendCodeManager {//推荐id管理
-    private NerveManager nerveManager;
-    private double studyTh;
-    private int dim;
-    private ReentrantReadWriteLock lock = new ReentrantReadWriteLock();
+    private final NerveManager nerveManager;
+    private final double studyTh;
+    private final int dim;
+    private final ReentrantReadWriteLock lock = new ReentrantReadWriteLock();
 
     public RecommendCodeManager(boolean initPower, RecommendConfig recommendConfig) throws Exception {
         studyTh = recommendConfig.getStudyTh();
diff --git a/src/main/java/org/wlld/rnnJumpNerveCenter/NerveJumpManager.java b/src/main/java/org/wlld/rnnJumpNerveCenter/NerveJumpManager.java
index a3ab343..5f9f1a2 100644
--- a/src/main/java/org/wlld/rnnJumpNerveCenter/NerveJumpManager.java
+++ b/src/main/java/org/wlld/rnnJumpNerveCenter/NerveJumpManager.java
@@ -275,13 +275,14 @@ public class NerveJumpManager {
      * @param hiddenDepth     隐层深度
      * @param activeFunction  激活函数
      * @param isDynamic       是否是动态神经元
+     * @param studyPoint   学习率
      * @param rzType          正则函数
      * @param lParam          正则系数
      * @throws Exception 如果参数错误则抛异常
      */
     public NerveJumpManager(int sensoryNerveNub, int hiddenNerveNub, int outNerveNub
             , int hiddenDepth, ActiveFunction activeFunction, boolean isDynamic,
-                        double studyPoint, int rzType, double lParam) throws Exception {
+                            double studyPoint, int rzType, double lParam) throws Exception {
         if (sensoryNerveNub > 0 && hiddenNerveNub > 0 && outNerveNub > 0 && hiddenDepth > 0 && activeFunction != null) {
             this.hiddenNerveNub = hiddenNerveNub;
             this.sensoryNerveNub = sensoryNerveNub;
@@ -384,7 +385,14 @@ public class NerveJumpManager {
         }
         rnnOutNerveBodies.add(rnnOutNerveBody);
     }
-
+    /**
+     * 初始化残差Rnn神经元(跳层)参数
+     *
+     * @param initPower 是否是首次进行训练
+     * @param isShowLog  是否打印续写过程中的参数
+     * @param toSoftMax   是否增加softMax输出层
+     * @throws Exception 如果参数错误则抛异常
+     */
     public void initRnn(boolean initPower, boolean isShowLog, boolean toSoftMax) throws Exception {
         isRnn = true;
         initDepthNerve(false, 0, 0);//初始化深度隐层神经元
diff --git a/src/main/java/org/wlld/rnnJumpNerveEntity/SensoryNerve.java b/src/main/java/org/wlld/rnnJumpNerveEntity/SensoryNerve.java
index 4543f32..34ea5d4 100644
--- a/src/main/java/org/wlld/rnnJumpNerveEntity/SensoryNerve.java
+++ b/src/main/java/org/wlld/rnnJumpNerveEntity/SensoryNerve.java
@@ -23,11 +23,14 @@ public class SensoryNerve extends Nerve {
     }
 
     /**
-     * @param eventId   唯一的事件id
-     * @param parameter 输入点的数据
-     * @param isStudy   是否是学习 (学习状态没有输出)
-     * @param E         标注
-     * @param outBack   回调结果
+     * @param eventId     唯一的事件id（每个用户线程一个id用来处理线程安全）
+     * @param parameter   该输入层的输入参数
+     * @param isStudy     是否是学习 (学习状态没有输出)
+     * @param E           标注
+     * @param outBack     回调结果
+     * @param isEmbedding 是否获取word2Vec返回结果(单独为词向量嵌入兼容，若无需则传false)
+     * @param rnnMatrix   rnn参数矩阵，矩阵中每一行是每一层的特征向量
+     * @param storeys    记录跳层路径的数组，即在rnn中经过的层数，若不在此路径集合内则跳跃
      */
     public void postMessage(long eventId, double parameter, boolean isStudy, Map<Integer, Double> E
             , OutBack outBack, boolean isEmbedding, Matrix rnnMatrix, int[] storeys) throws Exception {//感知神经元输出