基于Matlab语言的Monte_Carlo入门教程

pso binary code with cost function

4g的核心技术：关于MIMO技术当中的空时编码(4g core technology: coding on the MIMO-OFDM)

本站以C语言和Java语言、嵌入式开发、算法实现为主.(IMAGE SIGNAL BLIND PROCESSING)

Solutions for SCADA system Communication Reliability in Photovoltaic Power Plants

Matlab各编程应用实例，并包含正交函数、曲线拟合、回归分析等。(Application of the Matlab programming, and includes orthogonal function, curve fitting, regression analysis.)

SIMULINK初级教程，入门必备。AM调制器的设计，低通滤波器，AM相干解调仿真(SIMULINK primer, entry necessary. AM modulator design, low-pass filter, AM Coherent demodulation simulation)

这 文档是指以下的 G.722.2 系列的建议： 国际电信联盟-T G.722.2 (2002 年)，建议宽带的大约 16 kbit/s 的语音编码 使用宽带自适应多速率 (AMR-WB) ITU-T 建议 G.722.2 — — 附录我 （2002 年），错误隐藏的错误或丢失帧

此代码是采用matlab编写的最优化算法，主要是对求解函数进行最优化分析，最终求出最优解。(This code is prepared using matlab optimization algorithm, the main function is to solve the optimization analysis, the final optimal solution obtained.)

This is region based segmentation technique. It includes segmentation of similar pictures.

说明：  本书共有43章，内容涵盖常见的神经网络（BP、RBF、SOM、Hopfield、Elman、LVQ、Kohonen、GRNN、NARX等）以及相关智能算法（SVM、决策树、随机森林、极限学习机等）。同时，部分章节也涉及了常见的优化算法（遗传算法、蚁群算法等）与神经网络的结合问题。此外，本书还介绍了MATLAB R2012b中神经网络工具箱的新增功能与特性，如神经网络并行计算、定制神经网络、神经网络高效编程等(This book consists of 43 chapters, covering common neural networks (BP, RBF, SOM, Hopfield, Elman, LVQ, Kohonen, GRNN, NARX, etc.) and related intelligent algorithms (SVM, decision tree, random forest, extreme learning machine, etc.). At the same time, some chapters also involve the combination of common optimization algorithms (genetic algorithm, ant colony algorithm, etc.) and neural networks. In addition, the book also introduces the new functions and characteristics of the neural network toolbox in MATLAB R2012b, such as parallel computing of neural networks, customized neural networks, efficient programming of neural networks, etc)