用java编写的bp网络和rbf网络的源程序 JNNT由java语言写成，具有跨平台的优越性能.java applet的演示版更简单到只需要任何机器上的浏览...

关于细胞自动机的例子，希望有志于这领域的同仁研究-on Cellular Automata example, are interested in this area of research colleagues! !

用粒子群方法解决TSP（旅行商）问题，按照TSP1.m中的格式输入程序参数即可-Using Particle Swarm solution to TSP (traveling salesman) problems, in accordance with the format in TSP1.m parameter input program

该程序是指纹识别比较全面的软件，为博士点开发的有较高技术含量的代码，质量高，不容错过。-The program is more comprehensive fingerprint recognition software for the development of doctoral programs have a higher technological content of the code, high quality, should not be missed.

用Prolog求解传教士和野人问题 复习经典谓词演算中的归结原理，掌握人工智能程序设计语言Prolog，理解通过搜索求解问题实现人工智能的思想。-Using Prolog to solve the issue of missionaries and Savage Classical Predicate Calculus review summarized in principle, grasp the artificial intelligence programming language Prolog, to understand to solve problems by searching for the realization of the idea of artificial intelligence.

对于含有噪声的的数字图像模式“1、2、3、4”，使用“hopfield”神经网络，进行联想、识别，以去除噪声的影响。-for containing noise of the digital image model "1,2,3,4", "hopfield" neural network, Lenovo, identification, in order to remove noise impact.

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.

本程序是人工编写的bp神经网络，针对识别样本btw三类进行训练和识别。-This procedure is prepared bp artificial neural networks, btw samples for identification of three types of training and identification.

基于神经网络的语音识别技术研究 基于神经网络的语音识别技术研究-Neural Network Based Speech Recognition Technology based on neural network speech recognition technology research

基于matlab的指纹识别系统，采用基于细节点对比，输入图像必须是256×256，8－bit灰度值，500dip的指纹。-Matlab-based fingerprint identification system based on Minutiae contrast, imported images must be 256 x 256.8-bit gray scale values 500dip fingerprints.

此程序为训练RBF网权值的量子粒子群优化算法，供各位参考-this program for training RBF net weights Quantum Particle Swarm Optimization Algorithm for reference