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.

研究生课程机器人控制基础大作业 检测直线与曲线-Robot Control Technology-DetectStraightlineAndCurves use matlab

吉林大学《计算智能》课程的课件-Jilin University, "Computational Intelligence" Curriculum courseware

神经网络OOP类库，含有BP网络等的训练，很容易对其进行扩展，-neural network OOP libraries, containing BP network of training, it is easy to extend them

本程序利用蚂蚁算法解决TSP（旅行商问题）问题-This procedure using ant algorithm to solve TSP (Traveling Salesman Problem) problem

电梯程序，包含了上、下、停留等功能。还有关于优先级的设置。-Elevator procedures included upper and lower, to stay and other functions. Also on the priority settings.

< 神经网络设计源代码>>一书的源代码。-err

人脸识别：利用奇异值分解和KL变换的投影，是很有价值的一篇文章-Face Recognition : The Singular Value Decomposition and KL transform projection, it is valuable to an article

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

遗传算法用于机器人路径规划的matlab代码-Genetic algorithms for robot path planning matlab code