资源列表
classify_su
- K-均值算法与聚类算法以及实现了简单的识别功能-K-means clustering algorithm and the realization of a simple recognition
function-approximation
- 基于神经网络的函数逼近源代码c++,函数为y=sin(x*pi/400)+2-Source code c++ function approximation based on neural networks, function y = sin (x* pi/400)+2000
LZW-code
- LZW就是通过建立一个字符串表，用较短的代码来表示较长的字符串来实现压缩。-LZW is through the establishment of a string table, with a shorter code to indicate a long string to achieve compression.
longest-common-subsequence
- 本代码实现了算法导论书中最长公共子序列算法。-The longest common subsequence
IntervalTree
- 本工程实现了算法导论书中区间树查找的算法，可直接运行。-Find the interval tree
Kmeans
- K-means聚类算法的java实现。一个类，可以直接调用。-K-means clustering algorithm implemented by java.you can use it directly in your coad.
NaiveBayes
- 朴素贝叶斯算法的java实现，内含输入输出和测试用例-NaiveBayes algorithm implenmented by java，including input and output coad as well as test cases
the-short-distance-genetic-matlab
- 最短距离问题，利用遗传算法解决。这是一个完整的数模题目，有题目，思路，解决方法及源代码，希望大家能够喜欢-The shortest distance problem, the use of genetic algorithms to solve. This is a complete digital-analog problem, there are questions, ideas, solutions and source code, I hope everyone can enjoy
Genetic-Algorithmsmatlab
- 一种新的遗传算法，有详细的注释说明，大家可以轻松读懂，也可以应用到自己需要的领域-A new genetic algorithm, a detailed notes, you can easily read, but also can be applied to the field of their own needs
learn-perceptron-true-table
- 利用自学习的感知机神经网络实现一个真值表。-The use of self-learning machine to achieve a perception of truth table.
twoinput-perceptron
- 利用感知机神经网络实现最简单的与或运算。-Use Perceptron neural network with the most simple or operations.
Semsupervised-learning
- 这是一篇关于半监督的论文，半监督学习问题广泛存在于现实世界中, 已经成为目前机器学习和模式识别领域中的一个研究热点. 文章 综述了半监督学习问题的基本思想、研究现状、常用算法及其一些应用领域, 分析了目前存在的主要困难, 并指出需进一步研究的几个问题.-Sem-i supervised learning has been w idely used in the w orld and become a hot topic in the resear ch field of machine