PSO

本书基于MATLAB 5.2版，提供了使用MATLAB的实践性指导。 MATLAB已成为适合多学科、多种工作平台的功能强大、界面友好 、语言自然并且开放性强的大型优秀应用软件，同时也已成为 国内外高等院校高等数学、数值分析、数字信号处理、自动控制 理论以及工程应用等课程的基本教学工具。本书按逻辑编排， 自始至终用实例描述；内容完整且每章相对独立； 是一本简明的MATLAB参考书，既适用于初学者，也适用于高级 MATLAB用户。对MATLAB与FORTRAN、C等语言结合的描述更是所 有MATLAB书籍中少有的一大特色。 本书适合作为理工科高等院 校研究生、本科生教学用书，也可作为广大科研工程技术人员的 自学用书。(book based on MATLAB version 5.2, providing for the use of MATLAB practical guidance. MATLAB has become suitable for multidisciplinary, multi-platform work of the powerful and friendly interface, natural language and the open-large outstanding software application, but also domestic and foreign institutions of higher learning has become a Higher Mathematics, Numerical analysis, digital signal processing, automatic control theory and engineering applications of the basic curriculum teaching tool. By the logic of the book presentation, from beginning to end, with examples description; As complete and relatively independent of each chapter; is a concise reference book MATLAB, applies to both beginners, and it also applies to senior MATLAB users. On MATLAB and FORTRAN. languages such as C with)

说明：  CSTR modelling is done in the code. useful to understand the basics.

清华大学出版的科学与工程计算技术丛书/matlab编程指南的学习课件以及源代码(Learning Courseware and Source Code of Science and Engineering Computing Technology Series/Matlab Programming Guide Published by Tsinghua University)

说明：  导航对准中的传递传递对准，采用角速度匹配。(Transfer alignment in navigation alignment, using angular velocity matching.)

Closed loop control of an unmanned underwater vehicle (UUV) in the dynamicallydifficult environment of shallow water requires explicit consideration of the highly coupled nature of the governing non-linear equations of motion.

说明：  这是一个深度神经网络LSTM的教程，里面包含许多例子(Example of Lstm network)

将一般图片转换为二值化图片后实行细化算法(The general picture is converted to binary image thinning algorithm implemented after)

一本介绍了如何使用Matlab的工具书，新手特别容易上手(a file demonstrates how to use Matlab,new learner can handle matlab quckily.)

说明：  利用主成分分析法结合粒子群（PSO）优化极限学习机(ELM)进行工程费用估计预测(In this paper, principal component analysis (PCA) combined with particle swarm optimization (PSO) optimization extreme learning machine (ELM) is used to estimate and forecast engineering cost)

曹梦龙 仿真大实验 实验五 包括所有有用数据(Caomeng Long simulation experiment in Experiment 5, including all useful data)