Radial-Basis-Network

KEMA model of arcing in circuit breaker SF6

说明：  这是一个matlab范例程序，希望对大家有所帮助(This is a matlab example programs, we hope to help)

基于Matlab平台，进行概论、随机数理统计数值分析，包括m文件及流程说明。(Matlab-based platform, the Introduction, random numerical analysis of mathematical statistics, including the m-file and process instructions.)

本程序是圆形相控阵方向图合成，阵型位于不同坐标面上所得的方向图不同。本程序分别从阵型位于水平和竖直阵面两种情况进行仿真，结果不同。有利于初学者对相控阵方向图合成的理解和对matlab编程软件的学习。(This program is the circular phased array pattern synthesis.The direction of the circular phased array placed on the different coordinate surface of a simulation result. This program simulation points placed vertically and horizontally both cases, contribute to the understanding of phased array direction pattern synthesis and matlab programming learning.)

The goal of this session is to get basic practical experience with SVM classification as well as with the visual object category detection in still images. We will consider a simple face detector based on the common “scanning-window” technique.

runge kutta method.................

matlab源代码，是非负矩阵分解工具箱，包含乘法更新，最小二乘约束，投影梯度法等方法(Usage: [W,H] = nmf(X,K,alg,maxiter,speak) W: output matrix H: output matrix X: input matrix K: number of components alg: algorithm to use maxiter: maximum number of iterations speak: print to screen Algorithms: mm: Multiplicative updates method using euclidean distance measure. cjlin: Projected gradient method prob: Probabilistic non-negative matrix factorization. als: Alternating least squares. alsobs: Alternating least squares with optimal brain surgeon. Demonstrations: PET: NMF on a PET dataset Text: NMF used on a three different datasets Email, medical, and CNN. Algorithms mm: Multiplicative update method using euclidean distance measure. Described in Lee and Seung, 2001, Algorithms for Non-negative Matrix Factorization, Advances in Neural Information Processing Systems 13, 556-562. This algorithm is the most commonly used algorithm to solve NMF. cjlin: Alternative non-negative least squares using projected gradients. Author: Chih-Je)

这是一个基于梯度算法的3层RBF神经网络程序，是一个很纯净的，可运行的matlab程序，作为后续改进的算法的一个基础程序是个不错的选择。(This is a three-layer gradient algorithm based on RBF neural network program, is a very clean, you can run the matlab program, as a basis for subsequent improvement program algorithm is a good choice.)

利用混合巡游方法控制时空混沌1000-2618(2013)05-0475-05(Control of spatiotemporal chaos by a hybrid itinerant feedback method)

Characteristic polynomial, eigenvalues, eigenvectors