一个bp神经元网络的c++实现，优化了算法，有可执行界面

This program reads iid zero-mean unit-variance Gaussian variates

fan_nncC语言神经网络程序包-fan_nncC language neural network package

神经网络与matlab实现,内含大量的实例,希望能对你有所帮助.-neural network and Matlab realized, with a lot of examples and I hope that you can help.

将遗传算法与蚁群算法相相结合，产生的一种新算法-genetic algorithm and ant algorithm combination of a new algorithm

采用蚁群算法解决旅行商问题，IDL语言编写，动态现实中间过程。-Using ant colony algorithm to solve traveling salesman problem, IDL language, dynamic realities of the middle of the process.

数据挖掘各类代码:Apriori源代码全部-Various types of data mining code: Apriori all source code

隐马尔科夫模型工具箱windows可执行版本，可以广泛应用于识别等领域-HMM Toolbox windows executable version can be widely applied in areas such as identification

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

An Introduction to Genetic Algorithms for Scientists and Engineers By David Coley, World Scientific Press, 1999 (US$28 / £ 19.04) 书中的算法源程序-An Introduction to Genetic Algorithms for Scientists and Engineers By David Coley, World Scientific Press, 1999 (U.S. $ 28 /

模式识别――原理、方法及应用-pattern recognition-- principles, methods and applications