diff --git a/src/main/java/org/dromara/easyai/rnnJumpNerveEntity/HiddenNerve.java b/src/main/java/org/dromara/easyai/rnnJumpNerveEntity/HiddenNerve.java
new file mode 100644
index 0000000..ddf2511
--- /dev/null
+++ b/src/main/java/org/dromara/easyai/rnnJumpNerveEntity/HiddenNerve.java
@@ -0,0 +1,78 @@
+package org.dromara.easyai.rnnJumpNerveEntity;
+
+
+import org.dromara.easyai.matrixTools.Matrix;
+import org.dromara.easyai.i.ActiveFunction;
+import org.dromara.easyai.i.OutBack;
+
+import java.util.HashMap;
+import java.util.Map;
+
+/**
+ * @author lidapeng
+ * 隐层神经元
+ * @date  9:30 上午 2019/12/21
+ */
+public class HiddenNerve extends Nerve {
+    private final Map<Long, Float> outMap = new HashMap<>();
+
+    public HiddenNerve(int id, int depth, float studyPoint, boolean init, ActiveFunction activeFunction,
+                       int rzType, float lParam, int sensoryNerveNub,
+                       int hiddenNerveNub, int outNerveNub, int allDepth, boolean creator, int startDepth) throws Exception {//隐层神经元
+        super(id, "HiddenNerve", studyPoint,
+                init, activeFunction, rzType, lParam, sensoryNerveNub, hiddenNerveNub,
+                outNerveNub, allDepth, creator, startDepth);
+        this.depth = depth;
+    }
+
+    @Override
+    public void input(long eventId, float parameter, boolean isKernelStudy, Map<Integer, Float> E
+            , OutBack outBack, Matrix rnnMatrix, int[] storeys, int index, int questionLength) throws Exception {//接收上一层的输入
+        boolean allReady = insertParameter(eventId, parameter);
+        if (allReady) {//参数齐了，开始计算 sigma - threshold
+            float sigma = calculation(eventId);
+            float out = activeFunction.function(sigma);//激活函数输出数值
+            if (isKernelStudy) {
+                outNub = out;
+            }
+            if (rnnMatrix != null) {//rnn 1改输出值，2查看是否需要转向
+                if (!creator || depth < startDepth) {
+                    out = out + rnnMatrix.getNumber(depth, getId() - 1);
+                } else {
+                    out = out + rnnMatrix.getNumber(depth - startDepth + questionLength, getId() - 1);
+                }
+            }
+            if (!isKernelStudy) {
+                destroyParameter(eventId);
+            }
+            sendMessage(eventId, out, isKernelStudy, E, outBack, rnnMatrix, storeys, index, questionLength);
+        }
+    }
+
+    @Override
+    protected void sendAppointTestMessage(long eventId, float parameter, Matrix featureMatrix, OutBack outBack, String myWord) throws Exception {
+        boolean allReady = insertParameter(eventId, parameter);//接收测试参数
+        if (allReady) {//凑齐参数 发送给输出层
+            float sigma = calculation(eventId);
+            float out = activeFunction.function(sigma);//激活函数输出数值
+            out = out + featureMatrix.getNumber(featureMatrix.getX() - 1, getId() - 1);
+            destroyParameter(eventId);
+            outMap.put(eventId, out);
+            sendRnnTestMessage(eventId, out, featureMatrix, outBack, myWord);
+        }
+    }
+
+    @Override
+    protected void sendMyTestMessage(long eventId, Matrix featureMatrix, OutBack outBack, String word) throws Exception {
+        //继续发送
+        float out = outMap.get(eventId);
+        outMap.remove(eventId);
+        sendTestMessage(eventId, out, featureMatrix, outBack, word);
+    }
+
+    @Override
+    protected void clearData(long eventId) {
+        outMap.remove(eventId);
+    }
+
+}