fuzzy control

以黎曼几何为理论依据，基于S.Amari的修正核函数思想提出了两种新的保角变换，用其对核函数进行数据依赖性改进，进一步提高支持向量机分类器泛化能力。以人工非线性分类问题 为对象进行研究，仿真实验结果表明采用新保角映射可以快速显著地改善分类器泛化性能，而且能大幅度地减少支持向量的数目。-Two novel conformal transformations were proposed based on the Riemannian geometry theory and S.Amari’sidea.And the kernel function was modified by the transformation in a data-dependent way.Our experimental results for theartificial nonlinear data set show that the generalization performance of support vector machines classifier is improvedremarkably and the number of support vectors is decreased greatly.

用遗传算法求解TSP（旅行商）问题，按照TSP1.m中的格式输入程序参数即可。-Genetic Algorithm with TSP (traveling salesman) problems, in accordance with the format in TSP1.m parameter entry process.

粒子群算法的实例，应用于无线网络节点的动态布署等。图和表显示结果-Examples of particle swarm optimization applied to the wireless network nodes, such as dynamic deployment. Graph and table shows the results of

遗传算法GA的源代码及例子-genetic algorithm source code and examples

同遗传算法比较，PSO的优势在于简单容易实现并且没有许多参数需要调整。目前已广泛应用于函数优化，神经网络训练，模糊系统控制以及其他遗传算法的应用领域-comparison with the genetic algorithm, the advantages of PSO is simple and easy to achieve without many parameters need to be adjusted. Now it has been widely used function optimization, neural networks, fuzzy systems control and other genetic algorithm applications

基于人工神经网络的房地产项目评判模型，值得一看-based on artificial neural network evaluation model for real estate projects, an eye-catcher

本书专门介绍遗传算法中的仿生学计算算法的资料，是一本适合于人工智能初学者的好书。-book devoted to the genetic algorithm bionics algorithm information, is a suitable for beginners books on artificial intelligence.

这是一个nsga的应用问题。算法可能不是最优的。-application of nsga

计算电磁学中的遗传算法，是比较好的优化书籍，欢迎下载使用-Computational electromagnetics in the genetic algorithm is a better optimization of books, welcome to download

A*算法的一种简单描述，人工智能领域最为通用和重要的算法-A* most important and general algorithm in machine and here it is a kind of easy description