这是用C语言编写的神经网络源程序，各种网络都有相应的C程序...

用于求解TSP问题的matlab程序，能直接运行-BasicAntColon AlgorithmmatlabforTSP

可用于bp,elman,rbf,grnn四种神经网络的预测命令-Can be used for bp, elman, rbf, grnn four types of neural network prediction order

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.

Joone神经网络开源－－框架完全手册，但是，是英文的。不过很值得一看，-Joone neural network revenue- the framework of full manual, however, is English. But it is worth a visit,

细胞自动机的一个源代码，可以生成一维细胞自动机，将.cc文件改成.cpp运行-Cellular Automata of a source code can be generated one-dimensional cellular automata, will be. Cc document changed. Cpp Operation

遗传算法的经典程序，初学者一定要-GA classic procedures, beginners must look good

Dynamic Programming Code for the TSP

一个用来测试神经网络的程序。在matlab中直接打开即可。-a neural network used to test procedures. In Matlab can be opened directly.

遗传算法 遗传算法简称GA(Genetic Algorithm)，在本质上是一种不依赖具体问题的直接搜索方法。遗传算法在模式识别、神经网络、图像处理、机器学习、工业优化控制、自适应控制、生物科学、社会科学等方面都得到应用。在人工智能研究中，现在人们认为“遗传算法、自适应系统、细胞自动机、混沌理论与人工智能一样，都是对今后十年的计算技术有重大影响的关键技术”。-Referred to as genetic algorithm genetic algorithm GA (Genetic Algorithm), in essence is a kind of do not rely on specific issues of direct search method. Genetic algorithm in pattern recognition, neural networks, image processing, machine learning, optimization of industrial control, adaptive control, biological sciences, social sciences and so on have been applied. Research in artificial intelligence, now that the " genetic algorithms, adaptive systems, cellular automata, chaos theory and artificial intelligence, are the next ten years of the computing technology have a major impact on the key technology."

svm training example from svm.org