NeuralNetwork_Lab

说明：  介绍的关于matlab的基本所有函数的使用小知识点，对学习matlab的很有用(Introduced on all functions matlab basic knowledge of the use of small points, the learning of useful matlab)

codes for finite continuous ridgelet transform

HOPFIELDNETWORK M-file for HopfieldNetwork.fig . HOPFIELDNETWORK, by itself, creates a new HOPFIELDNETWORK or raises the existing singleton*. H = HOPFIELDNETWORK returns the handle to a new HOPFIELDNETWORK or the handle to the existing singleton*. HOPFIELDNETWORK( CALLBACK ,hObject,eventData,handles,...) calls the local function named CALLBACK in HOPFIELDNETWORK.M with the given input arguments. HOPFIELDNETWORK( Property , Value ,...) creates a new HOPFIELDNETWORK or raises the existing singleton*. Starting from the left, property value pairs are applied to the GUI before hopfieldNetwork_OpeningFunction gets called. An unrecognized property name or invalid value makes property application stop. All inputs are passed to hopfieldNetwork_OpeningFcn via varargin.

A guide to matlab FREE E-BOOK

用matlab对于FCM代码实现，不同于matlab中库函数(Used matlab code for FCM realize, unlike in matlab library function)

控制系统计算机辅助设计——MATLAB语言与应用(源代码）(Control System Computer Aided Design- MATLAB Language and Applications (source code))

实现Manchester码到二进制码转变( BIN2MANCHESTER(inputData) encodes binary data to its corresponding manchester binary sequence.)

PMSM_vatiablefrequency.rar,motor,功率电子领域matlab仿真文件，已经验证过，程序运行正常(PMSM_vatiablefrequency.rar,Power electronics field matlab simulation file, has already been verified, the normal operating procedures)

i need the matlab coding for image fusion using different types of techniques . so, i need the particular coding your file. i need different types pf transform like IHS,PCA, DCT, and brovey transform.

This paper presents a new method to solve the network reconfiguration problem in the presence of distributed generation (DG) with an objective of minimizing real power loss and improving voltage profile in distribution system. A meta heuristic Harmony Search Algorithm (HSA) is used to simultaneously reconfigure and identify the optimal locations for installation of DG units in a distribution network. Sensitivity analysis is used to identify optimal locations for installation of DG units. Different scenarios of DG placement and reconfiguration of network are considered to study the performance of the proposed method. The constraints of voltage and branch current carrying capacity are included in the uation of the objective function. The method has been tested on 33-bus and 69-bus radial distribution systems at three different load levels to demonstrate the performance and effectiveness of the proposed method. The results obtained are encouraging.