PNN网络代码

所属分类人工智能/神经网络/深度学习
开发工具:matlab
文件大小:5KB
下载次数:3
上传日期:2017-09-11 16:59:44
上 传 者gahuan
说明:  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。
(Probabilistic neural network was first proposed by Dr. D.F.Speeht in 1989. It is a branch of radial basis networks and belongs to a feedforward network. It has the following advantages: the learning process is simple, the training speed is fast, the classification is more accurate, and the fault tolerance is good. Essentially, it belongs to a supervised network classifier based on the Bayes minimum risk criterion.)

文件列表
RBF遗传优化.zip
PNN网络代码\PNN1.m
PNN网络代码

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