目标函数是De Jong函数，是一个连续、凸起的单峰函数

人工神经网络神经网络的程序和训练数据 解压缩后可以运行的-ANN neural network training procedures and decompress data after the run

改进的量子搜索算法的论文，用于模式识别等方面-Quantum search algorithm to improve the paper for pattern recognition, etc.

一个神经网络小脑CMACmatlab算法例子- A nerve network cerebellum CMACmatlab algorithm example

基于图像处理的相机自动调焦系统，开发环境：VC。~..~-based on image processing camera auto-focusing system, development environment : VC. ~ ~ ..

Fuzzy Rule Base Implementation

用BCB编写的Kohonen程序做优雅的网格分布，将任意维的输入数据，简化为二维x，y平面，竞争学习最佳实践。

基于《知网》的词汇语义相似度计算Final.doc-Based on the " HowNet" the vocabulary of semantic similarity calculation Final.doc

遗传算法简称GA(Genetic Algorithm)，在本质上是一种不依赖具体问题的直接搜索方法。遗传算法在模式识别、神经网络、图像处理、机器学习、工业优化控制、自适应控制、生物科学、社会科学等方面都得到应用。在人工智能研究中，现在人们认为“遗传算法、自适应系统、细胞自动机、混沌理论与人工智能一样，都是对今后十年的计算技术有重大影响的关键技术”。-Referred to as genetic algorithm GA (Genetic Algorithm), in essence is a kind of do not rely on specific issues of direct search method. Genetic algorithm in pattern recognition, neural networks, image processing, machine learning, optimization of industrial control, adaptive control, biological sciences, social sciences and so on have been applied. Research in artificial intelligence, now that the " genetic algorithms, adaptive systems, cellular automata, chaos theory and artificial intelligence, are the next ten years of the computing technology have a major impact on the key technology."

MATLAB编写的BP神经网络程序，好用。-MATLAB prepared by BP neural network procedures, easy to use.

9。《遗传算法原理及应用》，周明，孙树栋编着 国防工业出版社 1999年第一版 本书全面系统的介绍了遗传算法的基本原理、数学基础、各种主要实现技术，并给出了一些应用实例，同时还简单的介绍了进化计算的基本内容。本书具有系统性强、可读性强、可操作性强的特点。本书可供智能计算、自动控制、系统工程、优化计算、经济管理、运筹学、计算机等专业的研究人员、研究生、高年级大学生参考。 -9. "Genetic Algorithm Theory and Application", Zhou, Sun Shudong compile defense industry publisher in 1999 the first book version of the comprehensive and systematic introduction to the genetic algorithm to the basic principles mathematical basis, the major techniques, and gives some examples, also introduced a simple evolutionary computation of the basic elements. The book is systemic strong, readable, and it can be operational characteristics. The book smart, automatic control, systems engineering, optimization, economic management, and operations. computer and other professional researchers, graduate students and students of high-grade reference.