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[Other resourcejavaforBPandrbf

Description: 用java编写的bp网络和rbf网络的源程序 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。 -with java bp prepared by the network and the networks of the source rbf JNNT by java language, cross-platform advantages can be. java applet demo version of a more simple to just any machine on the View All can be run without having to install any additional software major. Lovers more convenient remote access through the internet resources.
Platform: | Size: 34773 | Author: wenwen | Hits:

[Other resourceJava_neuralnetwork_toolkit

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)
Platform: | Size: 33465 | Author: 林盈 | Hits:

[AI-NN-PRjavaforBPandrbf

Description: 用java编写的bp网络和rbf网络的源程序 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。 -with java bp prepared by the network and the networks of the source rbf JNNT by java language, cross-platform advantages can be. java applet demo version of a more simple to just any machine on the View All can be run without having to install any additional software major. Lovers more convenient remote access through the internet resources.
Platform: | Size: 34816 | Author: wenwen | Hits:

[AI-NN-PRJava_neuralnetwork_toolkit

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 | Hits:

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