用遗传算法解决01背包问题，内附测试数据。

单神经元pid源码实现，对初学的朋友很有帮助-The program can realize single neural pid with MATLAB.The algorithm is simple and easy to understand.

CPN能提供强大的分类功能.介绍CPN(Counter Propagation Networks)神经网络的结构、训练及计算的基础上,详细讨论了CPN在离散事件动态系统(DEDS)仿真、仿真优化等方面的应用。 -CPN can provide powerful classification. Introduction CPN (Counter Propagation Networks) neural network structure, training and calculated on the basis of a detailed discussion of the CPN in Discrete Event Dynamic System (DEDS) simulation, simulation optimization applications.

FastICA算法,使用matlab语言,是非常好的独立成分分析工具.-Fast algorithm, using Matlab language, is a very good independent component analysis tools.

神经网络算法源程序,使用C编写,需要的同志们赶快下吧，会对你用的-neural network algorithm source, the use of C, the need to quickly comrades are you would you use the

lzb的程序示例,方便修改,适合初学者使用!-lzb sample procedures to facilitate the modification, suitable for beginners to use!

根据 trilearn_base_sources-3.3 (一般称做UVA底层)修改的robocup球队代码,对某些模块进行了详细的注释(例如BasicPlayer,WorldMode模块),并且进行了一些基本的动作添加的示范(增加了射门动作,四处看动作,截球动作和贴身带球动作),示范了简单的高层决策修改和队型的修改,书写了一套完整的守门员高层代码,希望对大家有帮助-According to trilearn_base_sources-3.3 (generally known as UVA bottom) to amend the code of RoboCup teams, for certain modules in detail the Notes (such as BasicPlayer, WorldMode module), and carried out some basic moves to add a model (an increase of shooting action , look around action, action and cut the ball moves the ball next to the skin), demonstrated a simple modification of the high-level decision-making and team-based changes, write a complete set of high-level code goalkeeper, in the hope that everyone has to help

一个利用遗传算法解决TSP问题的程序,有利于对遗传算法进一步的理解.-A use of genetic algorithms to solve TSP problems procedure is beneficial to further understanding of genetic algorithm.

我的文件是用VC设计的一个求解人工智能中8数码问题的程序。-my VC document is designed to solve a digital AI 8 issue procedures.

小波神经网络的MATLAB程序，没有用库函数-Wavelet Neural Network MATLAB procedures, did not use library functions

10。《用于最优化的计算智能》，Nirwan Ansali，Edwin Hou着，李军，边肇棋译 清华大学出版社 1999年第一版 本书从讨论组合优化中的基本问题――NP问题入手，系统地讲述了近年来所发展起来的智能最优化的各种技术和方法，其中包括启发式搜索、Hopfield神经网络、模拟退火和随机机、均场退火以及遗传算法等；并在此基础上，通过一些典型的应用问题，如旅行商问题、模式识别中的点模式匹配问题、通信和任务调度等问题进一步阐明以上一些基本方法怎样用来解决这些原来具有NP性质的困难问题。本书是作者在美国新泽西州理工学院多年讲授有关课程的基础上写成的。全书深入浅出，理论联系实际。为帮助学生掌握基本概念，提高学习能动性，各章编写了习题。本书可作为通信、计算机、控制各专业的高年级学生和研究生学习有关课程的教材。它对于广大科研工作者也是一本很有实际价值的参考书。 -10. "Optimal for Computational Intelligence," Nirwan Ansali, with Edwin Hou, Li Jun, Pin Zhaoxing chess translation Tsinghua University Press in 1999 the first book version of combinatorial optimization from the discussion of basic questions-- NP problem start, the system described in recent years to develop the intelligent optimization of the technology and methods, These include heuristic search, Hopfield networks, simulated annealing and random machine, mean field annealing and genetic algorithms; and on this basis and through some typical applications, such as the traveling salesman probl