主要实现了烧结矿碱度的神经网络预测，训练精度高

神经网络 教程初级 比较简单 全面 程序设计-Neural network tutorial relatively simple primary comprehensive program design

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

模式识别中isodata的 vc++实现-pattern recognition isodata achieve the vc

建立Fuzzy模型－序列预测matlab代码-Fuzzy model-building- sequence prediction matlab code

一个可自我学习的人工智能小模型，可进行训练，也可进行提问-a self-learning artificial intelligence small, and can be used for training, may also question

一个比较简单的遗传算法程序，有注释，适合初学者一般学习

该程序利用遗传算法求Rosenbrock函数的极大值。该算法主要包括确定决策变量、建立优化模型、确定编码方法、确定解码方法、确定个体评价方法、设计遗传算子、确定遗传算法的运行参数等七个步骤。-the procedures for the use of genetic algorithms Rosenbrock function of great value. The algorithm including the identification of the main decision variables, the optimal model to determine coding method to determine decoding, determine individual evaluation methods, genetic operator, genetic algorithm to determine the operating parameters seven steps.

模拟退火算法经常用于最优化问题，本算法通俗易用！-Simulated annealing algorithm often used for optimization problems, this algorithm is popular to use!

< 网络机器人java编程指南>>的配套源程序，研究如何实现具有Web访问能力的网络机器人的书。从Internet编程的基本原理出发，深入浅出、循序渐进地阐述了网络机器人程序Spider、Bot、Aggregator的实现技术，并分析了每种程序的优点及适用场合。本书提供了大量的有效源代码，并对这些代码进行了详细的分析。通过本书的介绍，你可以很方便地利用这些技术，设计并实现网络蜘蛛或网络信息搜索器等机器人程序。-lt; Lt; Java Web Robot Programming Guide gt; Gt; The matching source to study how to achieve the ability to visit the Web network robot book. Internet programming from the basic principles and simple, step by step elaborate procedures of the network robot Spider, Bot, aggregator of technology, and analysis of the merits of each procedure and applicable occasions. The book provides plenty of source code, as well as code for a detailed analysis. Through the book, you can easily take advantage of these technologies, network design and network information spider or other search engine robot procedures.

一个完整BP神经网络源代码，包括数据和说明文档-a complete neural network source code, including data and documentation