diff --git a/tools/TrainCNN/backward.py b/tools/TrainCNN/backward.py
index 29133d6..c4b94b9 100755
--- a/tools/TrainCNN/backward.py
+++ b/tools/TrainCNN/backward.py
@@ -52,8 +52,8 @@ def save_para(folder, paras, names, info):
 
 
 STEPS = 100000
-BATCH = 50
-LEARNING_RATE_BASE = 0.0005
+BATCH = 40
+LEARNING_RATE_BASE = 0.0003
 LEARNING_RATE_DECAY = 0.99
 MOVING_AVERAGE_DECAY = 0.99
 
@@ -98,7 +98,7 @@ def train(dataset, show_bar=False):
 
             _, loss_value, step = sess.run(
                 [train_op, loss, global_step],
-                feed_dict={x: images_samples, y_: labels_samples, keep_rate: 0.4}
+                feed_dict={x: images_samples, y_: labels_samples, keep_rate: 0.3}
             )
 
             if step % 500 == 0:
diff --git a/tools/TrainCNN/forward.py b/tools/TrainCNN/forward.py
index 8489201..bfbfc7c 100644
--- a/tools/TrainCNN/forward.py
+++ b/tools/TrainCNN/forward.py
@@ -29,19 +29,19 @@ def max_pool_2x2(x):
 CONV1_KERNAL_SIZE = 5
 
 # 第一层卷积输出通道数
-CONV1_OUTPUT_CHANNELS = 4
+CONV1_OUTPUT_CHANNELS = 6
 
 # 第二层卷积核大小
 CONV2_KERNAL_SIZE = 3
 
 # 第二层卷积输出通道数
-CONV2_OUTPUT_CHANNELS = 8
+CONV2_OUTPUT_CHANNELS = 10
 
 # 第三层卷积核大小
 CONV3_KERNAL_SIZE = 3
 
 # 第三层卷积输出通道数
-CONV3_OUTPUT_CHANNELS = 12
+CONV3_OUTPUT_CHANNELS = 14
 
 # 第一层全连接宽度
 FC1_OUTPUT_NODES = 60