使用遗传算法训练的神经网络VC++源代码，经测试，该算法有效。...

利用人工智能原理中BP神经网络算法，建立的彩票预测程序，当然不可能都预测中，但是要学习神经网络的人值得一看-BP neural network algorithm, the establishment of the lottery forecasting process, of course, not all forecasts, but neural networks to study the eye-catcher

一个*算法，有详细的描述过程，其中的奥秘自己看。

BP神经网络C＋＋实现-BP neural network implemented by C++

使用模拟退火算法解决TSP问题，该程序中的模拟退火没有采用复杂的运算，实现了一个比较简单但运行高效的算法-using simulated annealing algorithm to solve TSP, the process of simulated annealing without the use of complex arithmetic, achieve a relatively simple but efficient operation of the algorithm

Visual C++编写的粒子群优化算法！-Visual C++ Prepared particle swarm optimization algorithm!

vb写的改进的遗传算法程序。是一些通用代码，与具体问题对应的代码空出来，用的时候填进去。根据我的经验，要想用好遗传算法，代码必须自己写，因为问题不同，编码，杂交，变异算子可能都不一样。特别是杂交算子，需要根据问题调整，甚至创造出新的杂交方法。而且适应度计算的代码也需要自己写，特别是带约束的优化问题 -vb write improvement in the genetic algorithm. Some common code, with the specific issues the corresponding code space, and the time spent filling into account. According to my experience, in order to make good use of genetic algorithms, code must write their own, because different issues, coding, hybridization and mutation operator may not like. In particular hybrid operator, the need to adjust the problem, or even create a new hybrid method. But fitness calculation of the code required to write their own, especially with the constrained optimization problem

基于java实现的遗传算法的源代码，利于初学者了解GA以及如何用java实现。-Java-based genetic algorithm realize the source code, which will help beginners learn how to use GA as well as realize java.

用模糊控制方法逼近函数z=x+y，效果比较好-Fuzzy control method with approximation function z = x+ y, the effect is better

OPENCV系列的，关于CORE，应该挺有用的，大家自己看看吧！-OPENCV series of CORE, should be quite useless, we all see!

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