有关遗传算法的原理与应用 不错啊分享一下啊

决策树 C45Rule-PANE算法 解决了决策的问题,是从QUILAN算法修改而成-Decision Tree C45Rule- PANE algorithm to solve the problem of decision-making, from QUILAN algorithm revisions

这是一本详细介绍遗传算法理论，及其在工程方面应用的书籍，书中包含许多实例，实在是不可多得的经典之书-This is a detailed theory of genetic algorithm and its applications in engineering books, the book contains many examples, it is rare classic book

一份中科院开发的语义分析源码，可编译运行。里面的代码都很完整，注释也清晰，是研究语义语法分析的必不可少的学习工程。-A semantic analysis of source code developed by Chinese Academy of Sciences, can be compiled to run. The code inside the very integrity of annotations is also clear, is to study the semantic parsing essential to study engineering.

基于MATLAB的神经网络非线性系统辨识软件包.-MATLAB-based nonlinear neural network system identification package.

人工智能的一种典型的启发式搜索算法，是一种最好优先的算法，但要加上一些约束条件。-A typical artificial intelligence heuristic search algorithm, is a priority of the best algorithm, but to add some more restrictive conditions.

LinPacker是一个优化矩形布局的工具，是在具有遗传算法的半无限大小区完成这一操作的。对缩减工厂的库存是有用的。-LinPacker optimization is a rectangular layout of the tool, with a genetic algorithm in the semi-infinite size of the area to complete the operation. To reduce factory stocks will be useful.

基本的BP神经网络框架，比较适用于初学者快速掌握神经网络的构成。-basic framework BP neural network, suitable for beginners to grasp the composition of neural networks.

基于VC开发的遗传算法源程序，有详尽的注释说明-based on the development of the VC genetic algorithm source files, a detailed Explanatory notes

本人调试的大作业（源程序模型+论文），主要包括PID控制、模糊控制、神经网络控制、遗传算法优化神经网络控制（使用了遗传工具箱GAOT）对同一系统所作的仿真比较，并加入饱和、死区、时滞等非线性后的响应，具体的分析比较过程论文中写的很详细。-I debug a big operation (source model+ Thesis), including PID control, fuzzy control, neural network control, genetic algorithm optimization of neural network control (using a genetic toolbox GAOT) on the same system simulation by the comparison, and to join saturation, dead zones, such as nonlinear time-delay after the response, the specific analysis of the comparison process paper written in great detail.

细胞自动机的程序,关于细胞自动机如何实现的问题-Cellular Automata procedures on Cellular Automata how to realize the problem