c k prepared by the average pattern recognition algorithm

这是用VC编程实现模糊控制来控制机器人的运动-The misty control imitate really

把 sequential 有导师学习问题转化为传统的有导师学习问题，是weka机器学习系统（本站可下载）的一个拓展-instructors put sequential learning into traditional learning instructors, weka machine learning system (download site), an expansion

能准确计算lyapunov-Exponent 来判断一个系统是不是混沌系统-Can accurately calculate the lyapunov-Exponent to determine a system is chaotic systems

很好用的一个适用程序，由Visual C＋＋编程，有收藏价值-A very good application of the procedures used by Visual C programming, have value for collection

来自于www2.cs.uregina.ca的c4.5源码-from the Bank www2.cs.uregina.ca FOSS

自组织系统Kohonen网络模型。对于Kohonen神经网络，竞争是这样进行的：对于“赢”的那个神经元c，在其周围Nc的区域内神经元在不同程度上得到兴奋，而在Nc以外的神经元都被抑制。网络的学习过程就是网络的连接权根据训练样本进行自适应、自组织的过程，经过一定次数的训练以后，网络能够把拓扑意义下相似的输入样本映射到相近的输出节点上。网络能够实现从输入到输出的非线性降维映射结构：它是受视网膜皮层的生物功能的启发而提出的。~..~-Kohonen network model. For Kohonen neural network, competition is this : For the "winner" of neurons c, in its switching around the region neurons in varying degrees, to be excited, and the switching outside the neurons were inhibited. Network learning is a process in the network connecting the right under the training samples for adaptive, self-organizing process, after a certain number of training, network topology can sense similar to the mapping of the input samples similar to the output nodes. Network can be achieved from input to output of nonlinear reduced-dimensional mapping structure : it is subject to retinal cortex of the biological function inspired by. ~ ~ ..

遗传算法方法，步骤，实例。详细，有实例，很不错。-Genetic algorithm methods, steps, examples. Detail, there are examples of very good.

一个很好的bp神经网络预测程序实例，有较好的预测精确性-Bp a good example of neural network forecasting process, a better prediction accuracy

遗传算法的matlab实现，举例说明遗传算法的基本实现步骤，适用于初学者-Matlab genetic algorithm to achieve, for example, shows the basic implementation steps of genetic algorithm is suitable for beginners

EM算法，详细介绍了EM算法的应用，对研究EM算法的人来说有很大的帮助。-EM algorithm, described in detail the application of EM algorithm