Smart electric car procedures, including light detection, and line detection, ob...

这是一本粗糙集数据挖掘的书，其中同时介绍了其他几种数据挖掘方法，并进行了相关对比-This is a rough set data mining of the book, which also introduced several other data mining methods, and conduct the relevant comparison

本算法使用了遗传算法的方法实现了随机数的生成方法。能够比较平均得实现随机数的生成。-The algorithm uses a genetic algorithm to achieve the method of random number generator. Compared to the average achieved in the generation of random numbers.

详细讲解了动态规划的算法问题，再通过“装箱问题”等7个程序实例介绍解决动态规划问题的思路和方法。-Gave a detailed algorithm for dynamic programming problems, and through the " bin-packing problem" and other instances of seven procedures introduced to solve the problem of dynamic programming ideas and methods.

介绍人工神经网络的模型及其应用。张立明编著，复旦大学出版社出版。-Introduction of artificial neural network model and its application. Edited by Zhang Liming, Fudan University Publishing House.

这是一个用于数据挖掘的常用算法的模板库（数据挖掘的C++模板库for UNIX)-for data mining algorithms commonly used template library (data mining C template library for UNIX)

matlab编写的遗传算法，采用二进制编码，有说明文档。-Matlab prepared by the genetic algorithm, using the binary coding, documentation.

粗糙集遗传算法例程-Rough Set routines Genetic Algorithm

pre-fixSpan算法，该算法是C++语言实现的，主要用模板实现prefixspan的投影数据库架构及模式生长功能

非常简单的一个神经网络小程序 自己写的 还用了遗传算法进行优化-Very simple neural network of a small program written in their own also used genetic algorithms to optimize

基于FIR神经网络的非线性盲信号分离-FIR based on the nonlinear neural network Blind Signal Separation