人工智能模式识别中基于非负矩阵分解生成特征空间的算法

LinPacker是一个优化矩形布局的工具，是在具有遗传算法的半无限大小区完成这一操作的。对缩减工厂的库存是有用的。-LinPacker optimization is a rectangular layout of the tool, with a genetic algorithm in the semi-infinite size of the area to complete the operation. To reduce factory stocks will be useful.

数据挖掘中频繁项集挖掘算法，改进了apriori算法，性能提高很多-Data Mining frequent itemsets mining algorithm, improved apriori algorithm, improve the performance of many

利用小波函数做神经网络的激活函数 这是一个简单的方法在使用BP网络的时候 可以直接调用小波函数 -Does the use of wavelet function neural network activation function is a simple method in the use of BP networks can directly call the wavelet function

双向广搜求解八数码问题,双向广搜求解八数码问题-Collected eight two-way digital problem solving, two-way collected eight digital problem solving

人工智能8数码问题-artificial intelligence problem

Fast ICA，一种ICA的快速算法，有完整的论文（两种格式，pdf和ps的）-Fast ICA, the ICA a fast algorithm, a complete paper (both formats, pdf and ps)

蚁群算法：用来进行路径设计、查找、规划等-Ant Colony Algorithm: Path used for design, search, planning, etc.

人工神经网络java工具箱源代码 包含BP网络，K分类和RBF网络-ANN java source code toolkit includes BP, K Classification and RBF Network

基于Matlab的简单遗传算法和简单bp网络的程序实现-based on Matlab simple genetic algorithms and simple bp Network Program

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.