Description: 人工神经网络网络设计实例，我运行过结果正确。可以-The artificial nerve network network design example, I move the result am correct. May have a try Platform: |
Size: 83968 |
Author:吴光超 |
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Description: 本工具包主要是为对神经网络有兴趣人士提供的一种方便，灵活的学习和研究软件。
JNNT由java语言写成，具有跨平台的优越性能.java applet的演示版更简单到只需要任何机器上的浏览器就可以运行，无需安装任何大型附加软件。更方便爱好者通过internet远程访问资源。
支持反向传播算法(BP),LBG聚类法和径向基网络(RBF)
-This toolkit is for people interested in neural networks has provided a convenient, flexible learning and research software. JNNT by the java language, cross-platform with superior performance. Java applet demo version is more simple to just any machine can run a browser, without installing any large-scale add-on software. Enthusiasts through the internet more convenient remote access to resources. To support the back-propagation algorithm (BP), LBG clustering method and radial basis function network (RBF) Platform: |
Size: 32768 |
Author:林盈 |
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Description: 基于BP神经网络识别字符的简单实验。实验内容是数字的识别。-Based on BP Neural Network Recognition of characters in a simple experiment. Experimental identification of digital content. Platform: |
Size: 238592 |
Author:王博 |
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Description: RBF神经网络的一个样本分类的例子，很简单，懂Matlab基础的就能看明白。-RBF neural network classification of a sample of examples of very simple, based on Matlab understand能看明白. Platform: |
Size: 2048 |
Author:Ariel |
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Description: RBF神经网络的一个样本分类的例子，很简单，懂Matlab基础的就能看明白。-RBF neural network classification of a sample of examples of very simple, based on Matlab understand能看明白. Platform: |
Size: 1024 |
Author:Ariel |
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Description: RBF神经网络的一个退化分析的例子，很简单，懂Matlab基础的就能看明白。-RBF neural network analysis of an example of degradation is very simple to understand Matlab based on the能看明白. Platform: |
Size: 1024 |
Author:Ariel |
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Description: 用matlab编写的简单的bp和rbf神经网路实例，有需要的下载吧，适合初学者-Written in a simple to use matlab bp and rbf neural network example, the need to download it for beginners Platform: |
Size: 2048 |
Author:南 |
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Description: RBF神经网络Matlab代码，简单实用，非常适合刚接触神经网络的初学者。-RBF neural network Matlab code, simple and practical, very suitable for beginners new to the neural network. Platform: |
Size: 1024 |
Author:Booker Sun |
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Description: 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.) Platform: |
Size: 46080 |
Author:哼哼1214
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Search - simple rbf network matlab