神经网络模型有多种,其中最具代 表性和广泛应用的是BP 模型(back propagation model),其结构 较简单,可操作性强,且能模拟任意的非线性输入输出关系。
基于4个网页-相关网页
bp back propagation model bp模型
error back propagation model 误差后向传播模型
Reinforcement Back-Propagation model RBP模型
back propagation bp model 反向传播神经网络
back propagation ann model bp神经网络模型
back propagation network model bp网络模型
back-propagation neural network model bp神经网络模型
back propagation neural network model 反向传播神经网络模型
In this model, back propagation algorithm based on forward networks was conducted to learn information of historical data and to train the network weights.
以人工神经网络的前馈型网络为基础结构,基于反向传播算法进行学习和训练来拟和证券价格指数的运动趋势。
The following paper constructs a artificial neural network - named water quantity predicting model, using automatically adapting and step-self-changing back propagation method(ABPM).
采用自适应变步长的后向传播算法(ABPM)构建了一个人工神经网络用水量预测模型。
The model used multiple stepwise regression method and back propagation method independently.
模型分别采用多元逐步回归方法和反向传播方法。
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