java的神经网络工具箱

将遗传算法(GA)与传统SVM算法结合,构造出一种参数最优的进化SVM(GA2SVM),SVM 模型采用径向基函数(RBF)作为核函数，利用格雷码编码方式对SVM算法的模型参数进行遗传编码和优化搜索，将搜索到的优化结果作为SVM 的最终模型参数。-Genetic algorithm (GA) combined with the traditional SVM algorithm, a kind of tectonic evolution of the optimal parameters of SVM (GA2SVM), SVM model using Radial Basis Function (RBF) as kernel function, the use of Gray code encoding algorithm of the SVM model parameters of genetic coding and optimization of search, will search for the optimal results as the final SVM model parameters.

计算机故障智能诊断系统 用户输入计算机的故障症状 即可由系统得出故障原因和相关的处理方法-Diagnose the system in computer s trouble intelligence Users input the trouble symptom of the computer Can be had cranky reason and relevant treatment methods systematically

Machine Learning Weka 数据变换，给Arff文件加载权值，变换为XRFF文件。-Machine Learning Weka data transformation to Arff file to load the right value, transform paper to XRFF.

八数码难题源代码-eight digital source code problems

基本的神经网络计算TLU，对于所有学习神经归纳的第一个算法来说，单个神经容易做训练，虽然不会有问题的异或解，但它是人类神经史上的第一步。

Description: C4.5Rule-PANE is a rule learning method which could generate accurate and comprehensible symbolic rules, through regarding a neural network ensemble as a pre-process of a rule inducer. Reference: Z.-H. Zhou and Y. Jiang. Medical diagnosis with C4.5 rule preceded by artificial neural network ensemble. IEEE Transactions on Information Technology in Biomedicine, 2003, vol.7, no.1, pp.37-42. 使用神经网络集成方法诊断糖尿病,肝炎,乳腺癌症的案例研究. -Description: C4.5Rule-PANE is a rule learning method which could generate accurate and comprehensible symbolic rules, through regarding a neural network ensemble as a pre-process of a rule inducer. Reference: Z.-H. Zhou and Y. Jiang. Medical diagnosis with C4.5 rule preceded by artificial neural network ensemble. IEEE Transactions on Information Technology in Biomedicine, 2003, vol.7, no.1, pp.37-42.

《模式分析的核方法》一书中的源代码，其中有该书的基本介绍和talk！

一个很好用的自适应人工神经网络模型库，包括ADALINE/RBF/多层前向等，另外内含Demo，更易上手-A good use of adaptive artificial neural network model library, including the ADALINE/RBF/Multi-layer and so on, the other containing the Demo, even易上手

fp_growth，apriori算法的升级版，减少了扫描数据库的次数-fp_growth, apriori algorithm upgrades, reducing the number of scanning the database

机器人接口程序，控制机器人时常用的 .是大学生活所得-Robot interface program to control the robot when the commonly used. Is derived from university life