MFD－多变量系统频域设计工具

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.

FP-GROWTH算法实现数据挖掘中的关联规则-FP-GROWTH data mining algorithm of association rules

英国Sheffield大学遗传算法函数包，可节省遗传算法函数开发-Sheffield University United Kingdom function genetic algorithm package, can save the development of genetic algorithm function

模拟3G环境，测试可伸缩视频码流，适合JSVM开发者-Analog 3G environment, testing, scalable video stream, suitable for JSVM developers

the matlab code of ginisvm - an svm implementation good at probability regression.-the matlab code of ginisvm- an svm implementation good at probability regression.

人工智能课件，好不容易从老师那里考的，觉得老师讲的还蛮不错的-AI courseware, finally, where the exam from the teacher felt that the teacher talked about quite a good

感知器神经元解决较复杂输入向量的分类问题-Perceptron neurons to solve more complex input vector classification

用Delphi语言编写的遗传算法，内容较多，可以参考-Delphi language prepared by the genetic algorithm, a great deal of content, they can refer to

tfidf已应用于文本处理任务中。函数的输入是一个[i*j]项频率矩阵。输出是由tfidf度量计算的元素的[i*j]。

这是一个我自己编写的JAVA程序，可以运行的。思想是将KMEANS和神经网络结合起来实现模式的分类。-This is a Java program writen by meself which can be run.The chief concept is to combine KMEANS and NN to achieve classification of pattens.