用Java实现的多层BP神经网络，用于颜色和字符识别

模式识别在珠宝鉴定中的应用，该文是基于模式识别应用领域的文档类文献。-Pattern Recognition in jewelry appraisal application, the article is based on pattern recognition applications of the document class literature.

遗传算法的一些应用-GA applications

神经网络模拟正弦函数演示-neural network simulation sine function demo

apriori算法是数据挖掘的经典算法,它基于关联规则的思想.此为我的第3个收藏-algorithm data mining algorithm is the classic algorithm, which is based on the idea of association rules. This was my first three collections

基于GA的BP改进算法，用遗传算法对BP 神经网络算法进行改进试用过 里面有数据是可以使用的-GA-based improvement of BP algorithm, genetic algorithm with BP neural network algorithm tried there are data that can be used

使用最小二乘支持向量机对多维pyrim数据进行回归，需要下载最小二乘支持向量机工具箱。-use of least squares support vector machines for multidimensional data pyrim return need to download least squares support vector machines toolbox.

通过MATLAB实现的打砖块游戏(breakout)，内含netlab人工神经网络工具箱-The implementation of a interesting game "breakout" using MATLAB, also a netlab toolbox of artificial neural network is included.

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.

遗传算法解决双变量的函数最优化问题，有按钮的界面，用bc所编，生动模拟遗传进化过程-genetic algorithm to solve the two- variable optimization function, the button interface, using bc prepared by the vivid simulation of the process of genetic evolution