bp achieve with the digital identification procedures, the use of classical bp a...

人工神经网络BP算法 1、动态改变学习速率 2、加入动量项 3、运用了Matcom4.5的矩阵运算库（可免费下载,头文件matlib.h)， 方便矩阵运算,当然，也可自己写矩阵类 4、可暂停运算 5、可将网络以文件的形式保存、恢复-Artificial neural network BP algorithm 1, the dynamic change learning rate 2, adding momentum of 3, using the matrix calculation Matcom4.5 library (can be downloaded free of charge, the first document matlib.h), facilitate the matrix calculation, of course, can also write their own matrix Class 4, may be suspended by the operator 5, may be the form of network to the preservation, restoration

web流数据聚类挖掘的研究和应用。流数据作为一种特殊的可挖掘的数据类型，特别是基于网络技术迅速发展的今天，其彰显出的重要地位决定了它的挖掘技术需要被认真考虑，而如何在流数据中进行有效的聚类分析，是一个吸引研究者很大注意力的问题。-Clustering web streaming data mining research and applications. Flow data as a special type of data that can be excavated, in particular the rapid development of Web-based technology today, it underlines the important status of the decision of its mining technology need to be seriously considered, and how to stream data effectively together type of analysis, is a great to attract the attention of researchers question.

遗传算法强制交叉算法-GA mandatory cross-Algorithm

Particle Swarm Optimization (PSO) for the TSP

统计学习理论是建立在一套较坚实的理论基础之上的，为解决有限样本学习问题提供了 一个统一的框架。它能将很多现有方法纳入其中，有望帮助解决许多原来难以解决的问题（比 如神经网络结构及参数选择问题）；同时。在这一理论基础上发展了一种新的通用学习方法： 支持向量机（Support Vector Machine，SVM）。它己表现出很多优秀的性能，并已经成为当 今机器学习领域的研究热点。-Statistical learning theory is based on a more solid theoretical basis, in order to solve the learning problems of limited samples provides a unified framework. It will be incorporated into many existing methods, which could help solve many of the original difficult to resolve problems (such as neural network structure and parameters selection) the same time. Developed on the basis of this theory, a new universal learning methods: support vector machine (Support Vector Machine, SVM). It has been shown a lot of excellent performance and has become the hotspot of machine learning research in the field.

计算电磁学中的遗传算法，是比较好的优化书籍，欢迎下载使用-Computational electromagnetics in the genetic algorithm is a better optimization of books, welcome to download

支持向量机学习源码程序支持向 量机学习源码程序支持向 量机学习源码程序-Support vector machine learning support vector machine learning source program source program source program support vector machine learning support vector machine learning support vector machine learning source program source program

weka 的决策树的实现,对数据挖掘感兴趣的可以下哦,很好的呀-if you like Dataming

吉林大学《计算智能》课程的课件-Jilin University, "Computational Intelligence" Curriculum courseware

greedy em 混和模型训练算法-greedy em hybrid model training algorithm