资源列表
Travel
- 关于人工智能作业---推销商旅行问题，用C编写，简单易懂-On the artificial intelligence operation--- travel salesman problem, using C to prepare, easy-to-read
ga_fit
- 遗传算法插值程序，直接使用-Genetic algorithms interpolation procedures, direct use
m
- 介绍模糊控制，智能控制，神经控制和遗传控制系统的书籍-Introduction of fuzzy control, intelligent control, neural control and the genetic control system for books
BPNN
- 用BP神经网络实现模糊控制规则为T=int[(e +ec)/2]的模糊神经网络控制器。可以改变隐层节点数和学习速率。网络训练算法是变学习速率法。-BP neural network with fuzzy control rules for the T = int [(e+ Ec)/2] of the fuzzy neural network controller. Can change the hidden layer nodes and learning rate. Network tra
Matlab_interface_to_SVM_light
- Anton s Matlab interface to SVM light 提供Joachims的SVM light 使用非常方便-Anton s Matlab interface to SVM light provide Joachims s SVM light is very convenient to use
svmlight
- Joachims的SVM-light工具包 里面含有 两个.exe文件svm_classify.exe svm_learn.exe 可以实现Transductive SVM用Anton s Matlab interface to SVM light 使用会更方便-Joachims s SVM-light kit which contains two. Exe files svm_classify.exe svm_learn.exe can Transductive SVM with Anton
Teachingpso
- PSO算法，老师上课给的例题，虽然他的研究生编程编的有点不那么简洁，但指导一下还是可以的-PSO algorithm, the sample questions to the class teacher, although his post-graduate program made a bit less concise, but still be able to tell the
1
- CPN人工神经网络例子源码,这个源码是基于C语言环境开发的，希望能对大家有所帮助。-CPN-source example of artificial neural network, the source is based on the C language environment for the development of the hope that it can be helpful to everyone.
VarBayesianCode
- Variational Bayesian Multinomial Probit Regression with Gaussian Process Priors. -Variational Bayesian Multinomial Probit Regression with Gaussian Process Priors.
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- 遗传算法的文章，具体方法没有研究，有参考可下载。-Genetic Algorithm article did not study the specific methods, reference can be downloaded.
Solving_the_static_TSP_uising_IGT_algorithm
- 求解静态TSP 的IGT算法，基于改进郭涛算法的TSP问题求-Solving the static TSP of IGT algorithm, based on an improved algorithm of Guo Tao for TSP problem
function
- 基于遗传算法的函数优化,利用遗传算法求解函数极值。-Function based on genetic algorithm to optimize the use of genetic algorithm function extremum.