基于bp神经网络的货运量预测matlab实现

《基于MATLAB系统分析与设计－－神经网络》一书的源程序-"based on MATLAB analysis and design-- neural networks," a book of the source

一个很好的LIBSVM的JAVA源码。对于要研究和改进SVM算法的学者。可以参考。来自数据挖掘工具YALE工具包。-a good LIBSVM JAVA source. They should study and improve SVM academics. Reference. From Data Mining Tool Kit Yale.

用Ｃ语言实现的神经网络，采用遗传算法对网络进行训练，有很快的收敛速度！-C language of neural networks, genetic algorithm was used to train the network, the speed of convergence very soon!

研究机器人控制不可多得资料，强烈推荐-robot control study rare, strongly recommended!

人工智能领域最基本的问题-artificial intelligence fundamental problem

face recognition test source code

一个聚类算法，这是清华大学电子系OCR实验室的人写的-a clustering algorithm, which is the Department of Electronics, Tsinghua University OCR laboratory wrote in the

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

很好的遗传算法库，并且有详细的说明文档，Visual 2003环境下编写-A good genetic algorithm library, and a detailed description of documents, Visual 2003 environment to prepare

详细介绍了局部奇异值分解-details of local SVD