keras中Convolution1D中的input_shape参数不匹配错误

我想在keras中使用Convulation1D对数据集进行分类 .

DataSet Description ：

训练数据集大小= [340,30];样本数= 340，样本维数= 30

测试数据集大小= [230,30];样本数= 230，样本维数= 30

标签尺寸= 2

拳头我使用keras网站https://keras.io/layers/convolutional/的信息尝试使用以下代码

batch_size=1
nb_epoch = 10
sizeX=340
sizeY=30
model = Sequential()
model.add(Convolution1D(64, 3, border_mode='same', input_shape=(sizeX,sizeY)))
model.add(Convolution1D(32, 3, border_mode='same'))
model.add(Convolution1D(16, 3, border_mode='same'))
model.add(Dense(1))
model.add(Activation('sigmoid'))

model.compile(loss='binary_crossentropy',
              optimizer='adam',
              metrics=['accuracy'])

print('Train...')
model.fit(X_train_transformed, y_train, batch_size=batch_size, nb_epoch=nb_epoch,
          validation_data=(X_test, y_test))
score, acc = model.evaluate(X_test_transformed, y_test, batch_size=batch_size)
print('Test score:', score)
print('Test accuracy:', acc)

它给出了以下错误， ValueError: Error when checking model input: expected convolution1d_input_1 to have 3 dimensions, but got array with shape (340, 30)

然后我使用以下代码将Train和Test数据从2维转换为3维，

X_train = np.reshape(X_train_transformed, (X_train_transformed.shape[0], X_train_transformed.shape[1], 1))
X_test = np.reshape(X_test_transformed, (X_test_transformed.shape[0], X_test_transformed.shape[1], 1))

然后我运行修改后的代码，

batch_size=1
nb_epoch = 10
sizeX=340
sizeY=30

model = Sequential()
model.add(Convolution1D(64, 3, border_mode='same', input_shape=(sizeX,sizeY)))
model.add(Convolution1D(32, 3, border_mode='same'))
model.add(Convolution1D(16, 3, border_mode='same'))
model.add(Dense(1))
model.add(Activation('sigmoid'))

model.compile(loss='binary_crossentropy',
              optimizer='adam',
              metrics=['accuracy'])

print('Train...')
model.fit(X_train, y_train, batch_size=batch_size, nb_epoch=nb_epoch,
          validation_data=(X_test, y_test))
score, acc = model.evaluate(X_test, y_test, batch_size=batch_size)
print('Test score:', score)
print('Test accuracy:', acc)

但它显示错误， ValueError: Error when checking model input: expected convolution1d_input_1 to have shape (None, 340, 30) but got array with shape (340, 30, 1)

我无法在此处找到尺寸不匹配错误 .