Python 2.7 pybrain的巨大训练错误

这是我的培训职能：

def train(input_layer_data, output_layer_data, dnn, stn):
    ds = SupervisedDataSet(len(input_layer_data), len(output_layer_data))
    ds.addSample(input_layer_data, output_layer_data)
    if 'network' in dnn[stn]:
        net_dumped = dnn[stn]['network']
        net = pickle.loads(net_dumped)
    else:
        net = buildNetwork(len(input_layer_data), 50,  len(output_layer_data), hiddenclass=SigmoidLayer, outclass = SigmoidLayer)
    trainer = BackpropTrainer(net, ds)
    trainer.trainEpochs(1)
    trnresult = percentError( trainer.testOnClassData(), input_layer_data )
    print "epoch: %4d" % trainer.totalepochs, \
          "  train error: %5.2f%%" % trnresult
    return net

我使用单个输入和输出数据反复调用此函数

这就是它产生的输出

inp=[48, 48, 8, 69, 69, 8, 57, 57, 8, 67, 67, 8, 71, 71, 8, 75, 75, 8, 71, 71, 8]
out=[27, 27, 8, 71, 71, 8, 75, 75, 8, 71, 71, 8, 67, 67, 8, 57, 57, 8, 69, 69, 8]
epoch:    0   train error: 2100.00%
FeedForwardNetwork-152
   Modules:
    [<BiasUnit 'bias'>, <LinearLayer 'in'>, <SigmoidLayer 'hidden0'>, <SigmoidLayer 'out'>]
   Connections:
    [<FullConnection 'FullConnection-148': 'bias' -> 'out'>, <FullConnection 'FullConnection-149': 'bias' -> 'hidden0'>, <FullConnection 'FullConnection-150': 'in' -> 'hidden0'>, <FullConnection 'FullConnection-151': 'hidden0' -> 'out'>]

inp=[48,48,8,69,69,8,57,57,8,67,67,8,71,71,8,75,75,8,71,71,8]
out=[27,27,8,71,71,8,75,75,8,71,71,8,67,67,8,57,57,8,69,69,8]
历元：0列车错误：2100.00%
前馈网络-152
模块：
[, , ]
连接：
['out'>，'hidden0'>，'hidden0'>，'out'>]

我不理解这么大的错误。 错误会在整个程序中持续（这仅适用于一次调用）

如何减少错误