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chap4

于 2015-04-08 发布 文件大小:39KB
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  《滑膜变结构控制matlab仿真》第四章( synovial VSC matlab simulation Chapter 4)

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    说明:  自己编写的萤火虫算法,可以用于聚类等多种用途。(I have written the firefly algorithm, can be used for clustering and other purposes.)
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    概率神经网络(Probabilistic Neural Network)是由D.F.Speeht博士在1989年首先提出,是径向基网络的一个分支,属于前馈网络的一种。它具有如下优点:学习过程简单、训练速度快;分类更准确,容错性好等。从本质上说,它属于一种有监督的网络分类器,基于贝叶斯最小风险准则。(The rate neural network, first proposed in 1989, is a branch of the RBF network and is one of the feedforward networks. It has the following advantages: the learning process is simple, the training speed is fast, the classification is more accurate, the fault tolerance is good, and so on. In essence, it belongs to a supervised network classifier based on Bayesian minimum risk criteria.)
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