资源列表
Competitive_learning
- matlab编写的[数据挖掘]分类算法Competitive_learning算法。-Matlab prepared by the [data mining] classification algorithm Competitive_learn ing algorithm.
Gibbs
- matlab编写的[数据挖掘]分类算法Gibbs算法。-Matlab prepared by the [data mining] classification algorithm Gibbs algorithm.
Discrete_Bayes
- matlab编写的[数据挖掘]分类算法Discrete_Bayes算法程序。-Matlab prepared by the [data mining] classification algorithm Discrete_Bayes algorithm way Preface.
压力测试程序
- StressMark测试软件是一个使用Visual C++编写的，开放源代码的测试工具，可以完成服务程序及重要算法的功能和性能测试，其最主要的功能是模拟多线程或多客户端的自动化压力测试。-StressMark test software is a prepared using Visual C, the open-source testing tools, procedures and services to complete the important functions of the alg
pickup_filebody
- 在信息检索中，对网页进行处理，得到网页的文本主体。-in Information Retrieval, the website address, the text to be the main website.
wordseg
- 中文文本分类中对文本进行分词处理，以降温本表示称词的集合，然后用词向量来进行分类。-Chinese text classification of text-word processing, said to cool the pool said the words, then word vector to classify.
linkin=linkout
- 在web信息检索中，为了计算网页在检索结果中的排序，可以用网页的authority和hubness来表示网页的重要程度。-in web information retrieval, in order to calculate the website of the search results, in order of can the authority's website and the website said hubness to the degree of importance.
precision
- 在文本分类中对测试集进行测试后求得分类的准确率。-in the text classification of the test after test to seek classification accuracy.
k-meansgaijin
- 数据挖掘中的一个聚类算法k-means。-data mining clustering algorithm of a k-means.
生物特征识别技术综述
- 生物特征识别的综述,近年来各种生物特征识别技术的总结介绍,很适合入门者,对生物特征识别有个大概的了解.-biometrics synthesis, in recent years various biometric identification technology summaries, which is perfect for beginners. right biometrics is about the understanding.
Fnn_pid
- 基于神经网络的PID控制不是用神经网络来整定PID的参数，而是用神经网络直接作为控制器，通过训练神经网络的权系数间接地调整PID参数。-based on neural network PID control is not using neural networks to PID parameters, Rather, as a neural network controller directly, through the training of the neural network weight
hopfield－朱林
- 本文将介绍Hopfield神经网络(HNN)的产生、发展及基本原理，重点是对离散Hopfield网络(DHNN)的说明。包括：网络结构、涉及的算法和神经网络的训练方法；具体实例描述网络的联想去噪功能；进行计算机仿真计算及仿真结果说明；仿真程序的说明文档（仿真程序附后）；最后将对DHNN的最新发展状况作简单阐述。