法官签署了一个网上例子

基于神经网络的手写体识别程序，可能对感兴趣的朋友有所帮助-Based on neural network handwriting recognition program may be helpful to interested friends

神经网络研究生收费模型的具体方案以及其应用-Neural network model of graduate student fees, as well as their application specific program

神经网络C程序的第8章-neural network C procedures for the Chapter 8

两个人工智能小程序，解决八数码问题，使用A*算法-two small programs to solve eight digital, the use of A* algorithm

数据挖掘算法之一，基于代表点的CURE聚类算法，该算法先把每个数据点看成一类，然后合并距离最近的类，直至类个数为所要求的个数为止。-CURE cluster algorithm based on representive point,one of data mining algorithms,classifies each data as a category firstly, then unifies categories with the nearest distance into one until the number of class is coincidence with the classes demanded.

bp神经网络计算的源程序-bp neural network calculation of the source

神经网络与遗传算法结合，需要的朋友就不用多说了，仅供学习和参考。-Neural network and genetic algorithm combined with the need for friends goes without saying, for learning and reference.

人工免疫算法的集合，包含函数优化，图象识别，聚类等多种应用，采用matlab编程，并负有示例数据。~..~ -artificial immune algorithm set includes function optimization, image recognition, clustering, and other applications. using Matlab programming, and bear sample data. ~ ~ ..

这是一个我自己编写的JAVA程序，可以运行的。思想是将KMEANS和神经网络结合起来实现模式的分类。-This is a Java program writen by meself which can be run.The chief concept is to combine KMEANS and NN to achieve classification of pattens.

6。《非数值并行算法――遗传算法》，刘勇等着 科学出版社 1995年第一版 本书系统地叙述了非数值并行算法之一的模拟退火算法的基本原理以及最新进展，同时为了便于读者解决实际问题，书中对具体算法的步骤作了详细介绍。本书共分七章，第一章介绍算法的思想、特点。发展过程和前景。第二章介绍算法的基本理论。第三章讨论算法解连续优化问题。第四章利用算法设计和优化神经网络。第五章介绍在组合优化中的应用。第六章介绍应用遗传程序设计解决程序设计自动化问题。第七章对遗传算法和其它适应性算法进行比较。 本书可供高校有关专业的师生、科研人员、工程技术人员阅读参考。-6. "Non- numerical parallel algorithms-- Genetic Algorithm" Liu Yong waiting 520-531 1995 version of the first book to systematically describe the non- numerical parallel algorithms one count of simulated annealing Law and the basic tenets of the latest progress, in order to help readers solve practical problems, book of the specific algorithm steps in detail. The book is divided into seven chapters, the first chapter describes the idea algorithm, characteristics. The development process and prospects. The second chapter describes the basic algorithm theory. The third chapter discusses Algorithm for continuous optimization problems. Chapter IV using the algorithm design and optimization of neural netw