Error back propagation network is one kind of ann and it ' s widely used in economics prediction 误差反向传播网络( ebp网络)是人工神经网络的一种,它被大量运用在经济学的预测问题上。
With the back - propagation algorithm in hand , we can turn to our puzzle of identifying the language of source code samples 在掌握了反向传播算法后,可以来看我们的识别源代码样本语言的难题。
The basic theory of neural network and the back propagation neural network are represented in chapter 4 第四章对神经网络的基本原理进行了描述,重点介绍了反向传播( baekpropagation )神经网络。
The key idea is to take advantage of different classification abilities of neural network and decision tree algorithm for different attacks 建立了基于反向传播网络bp和决策树相结合的误用检测模型。
The learning process of rbf network is much faster and easier than that of bp network , and not existing local minimum areas 径向基函数神经网络的训练时间远小于反向传播神经网络,且不存在局部极小问题。
Ann has complicated mapping capability . the back propagation neural network modal ( bp model ) is often been used 在神经网络的不同算法中,应用和研究最多的是反向传播人工神经网络模型(简称bp网络模型) 。
( 3 ) multiple neural networks based on layers diagnosis model , back - propagation algorithm and its improved algorithm is analyzed in details ( 3 )详细分析了反向传播算法、其改进算法、基于层次分类诊断模型的多重结构神经网络。
Neural networks at your fingertips for a set of c packages that illustrate adaline networks , back - propagation , the hopfield model , and others ,它讨论了一组c程序包,这些包说明了adaline网络、反向传播、 hopfield模型以及其它,有一个
The application of hybrid algorithm which combines improved genetic algorithm and error back - propagation algorithm in artificial neural network training is studied first 首先研究了将改进遗传算法和误差反向传播( bp )算法相结合的混合算法来训练人工神经网络。
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。