diff --git a/src/main/java/org/dromara/easyai/transFormer/nerve/OutNerve.java b/src/main/java/org/dromara/easyai/transFormer/nerve/OutNerve.java
new file mode 100644
index 0000000..9395a68
--- /dev/null
+++ b/src/main/java/org/dromara/easyai/transFormer/nerve/OutNerve.java
@@ -0,0 +1,38 @@
+package org.dromara.easyai.transFormer.nerve;
+
+
+import org.dromara.easyai.matrixTools.Matrix;
+import org.dromara.easyai.i.OutBack;
+
+import java.util.List;
+
+/**
+ * @author lidapeng
+ * 输出神经元
+ * @date  11:25 上午 2019/12/21
+ */
+public class OutNerve extends Nerve {
+    private final SoftMax softMax;
+
+    public OutNerve(int id, float studyPoint, int sensoryNerveNub, int hiddenNerveNub, int outNerveNub,
+                    SoftMax softMax, int regularModel, float regular, int coreNumber) throws Exception {
+        super(id, "OutNerve", studyPoint, null, sensoryNerveNub,
+                hiddenNerveNub, outNerveNub, null, regularModel, regular, coreNumber);
+        this.softMax = softMax;
+    }
+
+    void getGBySoftMax(Matrix g, long eventId) throws Exception {//接收softMax层回传梯度
+        updatePower(eventId, g, null);
+    }
+
+
+    @Override
+    protected void toOut(long eventId, Matrix parameter, boolean isStudy, OutBack outBack, List<Integer> E, boolean outAllPro) throws Exception {
+        boolean allReady = insertMatrixParameter(eventId, parameter);
+        if (allReady) {
+            Matrix out = opMatrix(reMatrixFeatures.get(eventId).getMatrix(), isStudy);
+            reMatrixFeatures.remove(eventId);
+            softMax.toOut(eventId, out, isStudy, outBack, E, outAllPro);
+        }
+    }
+}