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Untitled

于 2011-01-20 发布 文件大小:1KB
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  Permission is hereby granted, free of charge, to any person obtaining a copy of this Software without restriction, subject to the following conditions: The above copyright notice and this permission notice should be included in all copies or substantial portions of the Software. The Software is provided "as is," without warranty of any kind. Created: May 2, 2007 Last modified: Jan. 8, 2009

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    用BP网络完成函数的逼近 P网络通常有一个或多个隐层,隐层中的神经元均采用sigmoid型变换函数,输出层的神经元采用纯线性变换函数。本例应用一个两层BP网络来完成函数逼近的任务,其中隐层的神经元个数是5。(network to be completed by BP function approximation P networks usually have one or more hidden layer, a hidden layer neurons are used sigmoid-type transformation function, the output layer neurons using pure linear transformation function. The application of a two-tier cases BP network function approximation to complete the task, hidden layer neuron number is 5.)
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