经典的BNP神经网络例子

一个简单实用的K紧邻分类器 -KNN

遗传算法中的新的多点交叉算法用来优化选择最优值-Genetic algorithm in the new multi-point crossover algorithm

模拟退火算法 模拟退火算法(Simulated Annealing,简称SA算法)是模拟加热熔化的金属的退火过程，来寻找全局最优解的有效方法之一。 模拟退火的基本思想和步骤如下： 设S＝{s1,s2,…,sn}为所有可能的状态所构成的集合， f：S―R为非负代价函数，即优化问题抽象如下： 寻找s*∈S，使得f(s*)＝min f(si) 任意si∈S （1）给定一较高初始温度T，随机产生初始状态S （2）按一定方式，对当前状态作随机扰动，产生一个新的状态S’ S’＝S＋sign(η).δ 其中δ为给定的步长， η为[－1,1]的随机数-simulated annealing algorithm (Simulated Annealing, or SA algorithm) is a simulation of heating molten metal in the annealing process, to find the global optimum one of the effective ways. Simulated Annealing basic ideas and the steps are as follows : S = (s1, s2, ..., sn) for all possible state posed by the pool, f : S-R non-negative cost function, that is abstract optimization problems are as follows : Find S* s, making f (s*) = min f (si) arbitrary si S (1) to set a higher initial temperature T, randomly generated initial state S (2) of a certain form, the current state of random disturbance, have a new state S "S" = S+ sign (). delta where given for the step, [-1,1] Random Number

遗传算法的通用程序，可以根据需要改编以适应不同的应用-Generic genetic algorithm procedure can be adapted to the needs of different applications

face recognition test source code

web流数据聚类挖掘的研究和应用。流数据作为一种特殊的可挖掘的数据类型，特别是基于网络技术迅速发展的今天，其彰显出的重要地位决定了它的挖掘技术需要被认真考虑，而如何在流数据中进行有效的聚类分析，是一个吸引研究者很大注意力的问题。-Clustering web streaming data mining research and applications. Flow data as a special type of data that can be excavated, in particular the rapid development of Web-based technology today, it underlines the important status of the decision of its mining technology need to be seriously considered, and how to stream data effectively together type of analysis, is a great to attract the attention of researchers question.

研究机器人控制不可多得资料，强烈推荐-robot control study rare, strongly recommended!

基于VC开发的自适应遗传算法源程序 大家一起学习吧-development of the VC-based Adaptive genetic algorithm source you learn it

一个用c++builder实现的神经网络算法的程序-c builder with a realization of the neural network algorithm for the procedure

这是一本较详细介绍遗传算法原理和应用的书籍，很多应用在本书中多有介绍-This is a more detailed genetic algorithm theory and application of books, many applications in this book presents more