犯错

使用clips解决4人限定时间过河问题。附带clips源代码。-use clips resolve four limit the time the river issues. Fringe clips source code.

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 算法实例MATLAB程序，包括了：选择 变异 交叉 遗传算子-GA

本文在VC++环境下用演化算法实现了非线性参数回归，实验结果表明，用此方法能够很好的实现非线性参数回归。-paper in VC environment using an evolutionary algorithm to achieve the nonlinear regression, experimental results indicate that this method can achieve good nonlinear regression.

非线性规划中求解无约束问题中的一个有效方法--模矢法(步长加速法),并用图表示出来步骤.-Nonlinear Programming Solution unconstrained problem of an effective method-- vector mode (step acceleration), and using map out steps.

this about the artificial neural networks which uses the back propogation method.-this is about the artificial neural networks which uses the back propogation method.

神经网络模式识别及其实现，第10章 内含：ART 和VQ 算法。 终于上传完，本来想一次性发上来的，但结果失败了，只好一个一个发。-pattern recognition and neural network to achieve, Chapter 10 consisting of : ART algorithm and VQ. Finally upload End, originally wanted onto a one-time, but the result of the failure, but a one-fat.

针对著名的UCI机器学习数据库中的iris data的kmeans聚类分析程序，具有代表性-For the well-known UCI machine learning repository of the iris data of kmeans cluster analysis procedure, a representative

用遗传算法求解最短路径问题-Genetic Algorithm for the shortest path problem

神 经 网 络 的 资 料-neural network data