目标函数是De Jong函数，是一个连续、凸起的单峰函数

模拟遗传算法，JAVA-Simulation of Genetic Algorithms, JAVA

牌照自动识别-license Automatic Identification

在数字信号处理中实现相关的能够人工智能滤波的功能-To artificial intelligence filtering

遗传算法的简单程序，可用于离散变量优化，多目标优化等许多领域-the simple procedure can be used for optimization of discrete variables, such as multi-objective optimization in many areas

//开发平台：Microsoft .NET Framework 2.0，Microsoft Visual C# 2005 Express //日期：2005.3.12 //作者：刘波 //粒子群优化算法(PSO)：本算法求目标函数的最小值-//development platforms : Microsoft.NET Framework 2.0, Microsoft Visual C# 2005 Express// Date : 2005.3.12// Author : Liu Bo// Particle Swarm Optimization (PSO) : The algorithm for the minimum objective function

1。《遗传算法的数学基础》，张文修、梁怡编着 西安交通大学出版社 2000年第一版 遗传算法（genetic algorithm）是模拟自然界生物进化过程与机制求解问题的一类自组织与自适应的人工智能技术，已广泛应用于计算机科学、人工智能、信息技术及工程实践。 本书重点在于阐述遗传算法的数学基础。全书共分3章，第1章给出了遗传算法的几何理论，第2章给出了遗传算法的马尔可夫链分析，第3章给出了遗传算法的收敛理论。 本书可以作为应用数学、计算机科学、系统科学等专业研究生的教材，也可以作为研究遗传算法的参考书。 -1. "Genetic Algorithm mathematical basis," Zhang Xiu, Yi Liang compile Xi"an Jiaotong University Press in 2000 the first edition of the genetic algorithm (genetic algorit hm) is a simulation of natural biological evolution process and mechanisms to solve the problem of a kind of self-organization and adaptive artificial intelligence technology, has been widely used in computer science, artificial intelligence, information technology, and engineering practice. The book focused on the genetic algorithm described math. The book is divided into three chapters, one chapter is a genetic algorithm of the geometric theory Chapter 2 of the genetic algorithm is a Markov chain analysis, presented in Chapter 3 of the geneti

神经网络训练程序，用来进行RBF网络的权值训练，利用训练好的权值可以进行自适应滤波！-neural network training procedures used for RBF network weights training. good use of training weights can be adaptive filtering!

严格按照BP网络计算公式来设计的一个matlab程序,对BP网络进行了优化设计-Neural Network――BP

这是一种利用神经网络来进行人脸识别的算法。-This is a neural network to the face recognition algorithm.

利用ICA变换进行人脸检测,是一种新的人脸检测方法-ICA transform the use of face detection, is a new face detection method