Power-Quality-Improvement-using-Fuzzy-Logic

C均值法的程序算法matlab 程序，本程序用MATLAB实现了聚类分析的功能，保存tex文件中，无数据(C-means algorithm matlab process procedures, the procedures used MATLAB implementation of the cluster analysis function, preservation of tex file, no data)

Visualization of BER for STBC ystem with MRC receiver

说明：  此程序用来进行信道延迟，和序列互相关的。(This procedure used for channel delay, and the sequence of inter-related.)

The Netlab toolbox is designed to provide the central tools necessary for the simulation of theoretically well founded neural network algorithms and related models for use in teaching, research and applications development. It contains many techniques which are not yet available in standard neural network simulation packages(The toolbox is designed to provide t he central tools necessary for the simulation o f theoretically well founded neural network al gorithms and related models for use in teaching , research and applications development. It c ontains many techniques which are not yet avail able in standard neural network simulation pac kages)

Código para simular un controlador PID

send you my example code

说明：  快速随机树法，寻求无人机最优的路径规划，达到节省时间和能源的问题(Fast Random Tree Method for Unmanned Aerial Vehicle Path Planning)

tA scheme of format conversion optical 16-ary quadrature amplitude modulation (16QAM) toquadrature phase shift keying (QPSK) signal based on cascaded four-wave mixing (FWM) in semiconduc-tor optical amplifiers (SOAs) is proposed. Theoretical analysis and simulations of the format conversionscheme are conducted to validate the feasibility of the proposal. In this proposal, the phase conjugatedof 16QAM signal is generated after the first FWM process in an SOA, and then the QPSK signal is con-verted due to the second non-degenerate FWM (ND-FWM) process in another SOA. The performance andthe optimal design of the 10 Gbit/s format conversion system under various key parameters of SOAs are uated and discussed. Simulation results present useful to enable interconnection between backbonenetwork and access network.

遗传算法优化的极限学习机模型 采用水仙花基本特征数据集 效果比单纯的ELM模型要好(The effect of using daffodils basic feature data set in the extreme learning machine model optimized by genetic algorithm is better than that of ELM model only.)

说明：  将分类识别的结果用混淆矩阵的形式表现出来(The results of classification and recognition are expressed in the form of confusion matrix)