MPPT 局部阴影 模型

matlab 工具箱，贝叶斯网络工具箱，程序实现及代码(matlab toolbox, Bayesian network toolbox, program implementation and code)

Binary data generator

Matlab toolbox for least squares support vector machines.

此程序是描述的RSSI曲线的代码 重点与A值和n值的关系！(the relationship between the parameters of the n and A in RSSI)

基于MATLAB实现水下4fsk调制解调(Based on MATLAB realization underwater 4fsk modem)

MATLAB关于数字信号编程，又从函数使用到复杂程序的源代码，涵盖MATLAB所有基础知识(MATLAB programming on the digital signal and from the function used to complex program' s source code, covering all the basics of MATLAB)

说明：   matlab 神经网络使用指南,内容很具体，希望对大家有所帮助(guide for nn precedure used in matlab)

说明：  动态贝叶斯网络结构学习算法，用来检验基于BOA的DBN结构寻优体系的合理性与可行性。环境matlab 6.1以上(Dynamic Bayesian network structure learning algorithm, the DBN used to test the structure-based optimization BOA system is reasonable and feasible. Environmental matlab 6.1 or above)

说明：  近年来，基于启发式的多目标优化技术得到了很大的发展，研究表明该技术比经典方法更实用和高效。有代表性的多目标优化算法主要有NSGA、NSGA-II、SPEA、SPEA2、PAES和PESA等。粒子群优化(PSO)算法是一种模拟社会行为的、基于群体智能的进化技术，以其独特的搜索机理、出色的收敛性能、方便的计算机实现，在工程优化领域得到了广泛的应用，多目标PSO(MOPSO)算法应用到了不同的优化领域[9~11]，但存在计算复杂度高、通用性低、收敛性不好等缺点。 多目标粒子群（MOPSO）算法是由CarlosA. Coello Coello等在2004年提出来的(In recent years, heuristic-based multi-objective optimization technology has been greatly developed, and research shows that this technology is more practical and efficient than classical methods. Representative multi-objective optimization algorithms mainly include NSGA, NSGA-II, SPEA, SPEA2, PAES and PESA. Particle Swarm Optimization (PSO) algorithm is an evolutionary technology based on swarm intelligence that simulates social behavior. With its unique search mechanism, excellent convergence performance, and convenient computer implementation, it has been widely used in the field of engineering optimization. The objective PSO (MOPSO) algorithm is applied to different optimization fields [9~11], but it has shortcomings such as high computational complexity, low versatility, and poor convergence. The multi-objective particle swarm optimization (MOPSO) algorithm was proposed by Carlos A. Coello Coello et al. in 2004)

通信系统建模与仿真第14章基于MATLAB程序(System Modeling and Simulation of Chapter 14 program based on MATLAB)