犯错

一个关于模式识别问题的很好的例子，可以对数组进行检验，非常好用！-a pattern recognition problem on the very good example of the array can be tested very handy!

包括883分酒问题，图的遍历等人工智能基本算法-Including 883 hours of liquor problem, artificial intelligence, such as graph traversal algorithm

股票交易系统自动根据指标进行相关的交易系统-Automatic stock trading system in accordance with indicators related to the trading system

遗传算法求解最优解求函数的最大值 : f(x,y)=21.5+x*sin(4*PI*x)+y*sin(20*PI*y) | 定义域 D: -3

BP分类器，用与识别不同模式。-BP classifier, and used to identify different models.

基于matlab的小波分析工具箱WAVELAB850-based on the wavelet analysis Matlab toolbox WAVELAB850

基于《知网》的词汇语义相似度计算Final.doc-Based on the " HowNet" the vocabulary of semantic similarity calculation Final.doc

遗传算法(图像处理)-genetic algorithm (image processing)

使用于初级使用者.能够直接使用采用最优化算法 遗传算法-use in the primary users. To use the most direct use of genetic algorithm optimization algorithm

本人编写的incremental 随机神经元网络算法，该算法最大的特点是可以保证approximation特性，而且速度快效果不错，可以作为学术上的比较和分析。目前只适合benchmark的regression问题。 具体效果可参考 G.-B. Huang, L. Chen and C.-K. Siew, “Universal Approximation Using Incremental Constructive Feedforward Networks with Random Hidden Nodes”, IEEE Transactions on Neural Networks, vol. 17, no. 4, pp. 879-892, 2006. -I prepared by incremental random neural network algorithm, which is characterized by the largest approximation properties can be guaranteed, and fast good results can be used as an academic comparison and analysis. The current benchmark is only suitable for the regression problem. Specific effects may refer G.-B. Huang, L. Chen and C.-K. Siew,