output layer

By introducing the hidden representation or hidden variables into RNN, training the complicated RNN is decomposed into training a set of single neurons and a linear output layer.

利用隐含观测量，将复杂RNN的训练分解为线性输出层和多个单隐元的参数估计。

Whereas, the initial network structure of CC algorithm is merely composed of input layer and output layer and the hidden neural cells are inserted into the network one by one in the training process.

CC算法仅要求初始网络含有输入层和输出层，通过运算不断向网络增加隐含节点，从而最大限度的减少了在网络构建过程中的主观因素。

Output layer to flush itself automatically after every output block.

将使输出层，在每段信息块输出后，自动刷新。

The self-organization process neural networks ( FPNN ) consists of input layer and competition layer and output layer.

自组织过程神经元网络 ( FPNN ) 由输入层、竞争层和输出层组成.

BP neural network is adopt three-layer structure, including input layer, hidden layer and output layer. A lot of characters are trained according to the standard BP neural network steps including activate computing, error calculation, connection weights adjustment and threshold adjustment.

采用三层结构，包括输入层、隐含层、输出层。根据标准的BP神经网络激活运算、误差计算、连接权调整、阈值调整等步骤，来训练大量字符。

In the output layer, the neuron production auto-attenuates at a definite speed too.

另外输出层的每个神经元也具有负反馈功能.

The network consists of three layers: the input layer, the hidden layer, and the output layer.

文中的BP网络模型都是由三层构成: 输入层 、 隐含层 、 输出层.

A three-level B-P neural network that can alert learning rate and momentum coefficient automatically was taken to do it. There were 6 nods in input layer, 8 in hide layer and 2 in output layer.

改进后的B-P网络为3层网络，输入层6个结点，隐形层8个结点，输出层2个结点，并且可以在线调整学习速率η。