完全图哈密尔顿圈的遗传模拟退火算法matlab通用源程序

pso优化算法的vc++源程序。在vc.net2003下面通过。 建议：看代码之前，请先弄明白pso是怎么回事。然后请对应着来：程序中用Agent代表一只鸟，PSO代表鸟群。阅读源代码，不要顺着看，先看main(),然后按照出现的东西的顺序，一个一个得来。-PSO optimization algorithm vc++ source. In the following vc.net2003 through. Recommendations: look the code before you find out how the PSO story. Then corresponds to: Program with Agent on behalf of a bird, PSO representative of birds. Read the source code, do not look down, look at the main (), then follow the order of things emerging, one by one come.

神经网络算法程序，对数学建模的同学很有用处。谢谢大家喜欢。-Neural network algorithm procedures, mathematical modeling of the students very useful. Thank you all like it.

解非线性规划模型的遗传算法，用c++语言编写，注释完整，结构清晰-Genetic Algorithm for nonlinear programming

模糊控制矩阵推理，控制规则表，设计带有延迟一阶惯性环节得模糊控制器。-fuzzy control matrix reasoning, control rule, designed with a delay in order inertia links fuzzy controller.

神经网络c++源程序.rar-neural network source. Rar

JESS开发模式，人工智能开发架构-JESS development model, the development of artificial intelligence structure

人工智能小模型，货郎担问题，一个简单的 实例-Artificial intelligence model:a simple instance of goods selling burden problem.

一个包含丰富内容的流形学习算法工具包，有图形示例文件demo.fig，包括laplacian特征映射算法、流形规则调整、svm分类算法等内容，希望对研究机器学习的朋友有用。-contains a rich content of the manifold learning algorithm tool kit, graphics documents demo.fig example, laplacian features include mapping algorithm manifold rules adjustments svm classification algorithm, want to study machine learning useful friends.

基于C开发的三个隐层神经网络，输出权值、阈值文件，训练样本文件，提供如下函数：1）初始化权、阈值子程序；2）第m个学习样本输入子程序；3）第m个样本教师信号子程序；4）隐层各单元输入、输出值子程序；5）输出层各单元输入、输出值子程序；6）输出层至隐层的一般化误差子程序；7）隐层至输入层的一般化误差子程序；8）输出层至第三隐层的权值调整、输出层阈值调整计算子程序；9）第三隐层至第二隐层的权值调整、第三隐层阈值调整计算子程序；10）第二隐层至第一隐层的权值调整、第二隐层阈值调整计算子程序；11）第一隐层至输入层的权值调整、第一隐层阈值调整计算子程序；12）N个样本的全局误差计算子程序。-C development based on the three hidden layer neural network, the output weights, threshold documents, training sample documents, for the following functions : a) initialization, the threshold subroutine; 2) m learning samples imported subroutine; 3) m samples teachers signal Subroutine ; 4) hidden layer of the module input and output value subroutine; 5) the output layer of the module input and output value subroutine; 6) the output layer to the hidden layer subroutine error of generalization; 7) hidden layer to the input layer subroutine error of generalization; 8) the output layer to the third hidden layer Weight adjustment, the output layer threshold adjustment routines; 9) 3rd hidden layer t

国外网站上的svm源码，希望对大家有帮助-abroad on the website svm source, and I hope to be helpful