1-stepwise-selection-criteria

比较复杂的可进行修改扩展的遗传算法源程序，带有说明文档(Complex can be extended to modify the genetic algorithm source code, with documentation)

短波信道建模中几篇具有里程碑意义的论文英文原文。(HF channel modeling in several landmark papers in English text.)

VNS algorithm matlab powerful source code

本书从MATLAB仿真角度系统地介绍了滑模变结构控制的基本理论、基本方法和应用技术，是作者多年来从事控制系统教学和科研工作的结晶，同时融入了国内外同行近年来所取得的新成果。 全书共分10章，包括滑模变结构控制发展综述、连续时间系统滑模控制、离散时间系统滑模控制、模糊滑模控制、神经滑模控制、基于反演设计的滑模控制、动态滑模控制、基于干扰估计的滑模控制、Terminal滑模控制以及几种新型滑模控制。 每种控制方法都通过MATLAB仿真程序进行了仿真分析。 ( Book from the MATLAB simulation Jiaodu a systematic introduction to the basic sliding mode control theory, the basic method and application of technology, is the author control systems for many years engaged in teaching and research work of the crystal, and into the domestic and foreign counterparts in recent years made new results. The book is divided into 10 chapters, including the development of sliding mode control synthesis of continuous-time sliding mode control systems, discrete-time sliding mode control systems, fuzzy sliding mode control, neural sliding mode control, sliding mode control design based on inverse dynamic slip mode control, sliding mode control based on interference estimation, Terminal sliding mode control, and several new types of sliding mode control. Each control methods are carried out by MATLAB simulation program simulation.)

Matlab直流潮流程序，Matlab直流潮流程序(Matlab直流潮流程序Matlab直流潮流程序)

主要介绍了matlab桌面应用程序开发，如何编写图形界面，调用API接口。如Matlab的COM应用方法……(Introduces matlab application development, the preparation of a graphical interface, call the API interface)

协同过滤算法 基于用户和基于项目（在readme中有详细解释） 里面已dataset数据集(Collaborative filtering)

建立vonkarman自相关函数的随机介质程序(A random medium program for establishing vonkarman auto correlation function)

shrodinger solving with matlab

Fuzzy knowledge-based system identification and modeling process is composed of two parts: variable identification and parameter identification. In variable identification, the significant variables of the system are identified among the set of possible variables. In parameter identification, the parameters of the knowledge-based system that describe the relationship between input and the output variables are identified. Parameter identification method consist of two steps: 1-find fuzzy clusters to establish the number of fuzzy rules 2-optimize the rule consequents. This code perform a fuzzy clustering using subtractive clustering