搜索资源列表
libneural-1.0.3
- libneural神经网络C库函数源代码,版本1.0.3.-libneural neural network C library functions source code, version 1.0.3.
kalyp-0[1].3.4-alpha
- kalyp是人工生命和神经网络方面架构最全的代码,对于进行仿真代码实现很有参考价值。-kalyp of artificial life and neural network architecture of the entire code for simulation code to achieve great reference value.
tsp_solve-1.3.6.tar
- tsp c++ /比较好的tsp 代码,运行环境 linux/unix-tsp c / tsp relatively good code, the environment linux / unix
cpplibga.1.3.tar
- free library of genetic algorithms
libs-1.3-src
- Language, scr ipt, and Encoding Identification with String Kernel Classifiers-Language and scr ipt Identification and Encoding with String Kerne l Classifiers
Caeser.java
- 1.凯撒密码的盲目搜索 2.凯撒密码的启发示搜索1 3.凯撒密码的启发示搜索2 -1. Caesar password blindly Search 2. Caesar said password inspired Search 1 3. Caesar said password inspired Search 2
icsiboost-0.3.tar
- Boosting is a meta-learning approach that aims at combining an ensemble of weak classifiers to form a strong classifier. Adaptive Boosting (Adaboost) implements this idea as a greedy search for a linear combination of classifiers by overweighting the
yichuan
- * 这里是遗传算法的核心框架遗传算法的步骤: * 遗传算法核心部分的算法描述 * 算法步骤: * 1、初始化 * 1.1、生成初始种群编码 * 1.2、计算每个个体的适配值。 * 1.3、记录当前最优适配值和最优个体 * 2、选择和遗传, * 2.0、若当前最优适配值多次小于已有的最优适配值(或相差不大)很多次,或者进化的次数超过设定的限制,转4。 * 2.1、按照与每个个体的适配值成正比的概率选择个体并复制,复制之后个体的数目和原始种群数目
carrot2-demo-webapp-2.1.3
- 聚类网站carrot2的聚类源代码,该网站属于国际公认的聚类搜索引擎
inanna-0[1].3.3.tar
- 神经网络OOP类库,含有BP网络等的训练,很容易对其进行扩展,-neural network OOP libraries, containing BP network of training, it is easy to extend them
select-0[1].3.tar
- 使用具有增量学习的监控式学习方法。包括几个不同的分类算法。-use with incremental learning supervised learning method. Including several different classification algorithm.
protege-src-3.1.1.zip
- 人工智能本体建模软件protege的java源码,这个软件架构很值得学习。我检查了下,这里没有,Ontology Modeling artificial intelligence software protege of java source code, this software architecture is worth learning. I checked, the There is no
antnet-1.1.rar
- Programming language: Developed in Omnet++. Comment: The model implements the AntNet routing algorithm proposed in: G. Di Caro and M. Dorigo. AntNet: Distributed Stigmergetic Control for Communications Networks. Journal of Artificial Intelligence Re
libsvm-mat-3.0-1
- 台湾林智仁教授编写的svm工具箱,比较好用,是众多SVM工具箱中相当经典的一个,被国内外很多学者所引用。-This tool has been developed by professor Chih-Jen Lin of TaiWan.It is easy to use.Besides it was widely used by scholars all over the world.
AForge.NET_Framework-2.1.3
- 一个C#下面的图像处理算法以及人工智能算法的类库。人工智能的算法包括神经网络算法,遗传算法,机器学习算法等。使用C#写人工智能算法的开发者可以直接调用这个类库,不用自己实现最底层的算法了。我曾经使用过其中的遗传算法类库,功能十分强大,推荐使用。 -English Descr iption: AForge.NET Framework is a C# framework designed for developers and researchers in the fields of Comput
Simpson1by3rule
- simson 1/3 rule fortran
FUZZY_Handbook
- The software included with the handbook is partitioned into four directories: CPPCODE, HPPCODE, DEMOS, and TOOLS. The <cppcode> directory contains all the fuzzy logic, modeling, and utility source code. The <hppcode> directory co
libsvm-mat-2.89-3
- Libsvm 最新版2009年11月1日更新。可用于分类和回归。基本的用法:1.将训练数据集变成libsvm允许的格式;2;设定参数;3使用svmtrain训练;4使用svmpredict分类或回归-The lateset vesrsion of LibSvm released in 1th Nov,2009. It can be used in matlab enviorment.
1 (3)
- 人工智能行业报告3,可以非常清楚的了解行业发展情况,做出最好的判断。(The report of the artificial intelligence industry can make a clear understanding of the development of the industry and make the best judgment.)
Geolife Data 1.3
- Geolife GPS 轨迹数据集–用户指南 这一 GPS 轨迹数据集是在 (微软研究亚洲) Geolife 项目中收集的, 178 用户在四年 (2007年4月至 2011年10月) 期间。该数据集的 GPS 轨迹由一个时间戳点序列表示, 每一个都包含纬度、经度和高度信息。该数据集包含17621个轨迹, 总距离为1251654公里, 总持续时间为48203小时。该轨迹数据集可以应用于移动模式挖掘、用户活动识别、基于位置的社交网络、位置隐私和位置推荐等多个研究领域。(Geolife GPS t
