搜索资源列表
FuzzyNeuralNetwork
- 本论文在较为系统地分析模糊神经网络理论和遗传算法基本原理的基础上,,提出一种基于补偿模糊神经网络的控制方法,通过补偿模糊推理和快速学习算法的引入,构造补偿模糊神经网络控制器,实现模糊网络结构和参数的优化及matlab仿真。
PID参数优化与整定方法
- PID控制器现在仍然是应用最广泛的工业控制器,其关键在于对PID参数的优化整定,而采用常规的手工整定方法已经难以满足要求,目前需要解决对PID参数的高效优化问题。 本论文首先介绍了PID控制方法和常规PID参数整定方法,编程实现了数字PID控制器和基于遗传算法的参数自整定程序,然后将遗传算法用于不同的被控对象进行PID参数的整定及优化,为了对比控制效果,应用MATLAB软件进行了仿真验证,并用仿真曲线进行直观的对比。 结果表明遗传算法能够在对所求解问题一无所知的情况下,快速从全局搜索出优化的控
CAGA_O_F
- 关于链式智能体遗传算法用于数值优化和特征选择的论文,可以与我联系相互交流-On the chain-agent genetic algorithm for numerical optimization and feature selection of the papers, you can contact me exchange
ActiveXLabVIEWMATLAB
- 结合实例详细介绍了LabVIEW利用ActvieX技术调用MATLAB节点进行通讯的方法,利用MATLAB优化算法库,通过LabVIEW显示,达到了优势互补的目的。-Combination of LabVIEW examples described in detail the use of MATLAB to call ActvieX technology node communication methods, using MATLAB optimization algorithm librar
yuce
- 动态矩阵的预测控制源程序,可以实现预测控制中的模型预测和优化算法。- this pa- per puts forward a control scheme of multi-step-ahead prediction and compensation, which increases control power effectively, and improves dynamic characteristics ofthe system. The paper also discusses
ga_work1
- 利用改进的遗传算法求取函数的最大值,进行优化设计,在MATLAB下可以运行使用。-Using improved genetic algorithm to strike a function of the maximum optimized design, the use of MATLAB can be run under.
OFDM_channel_estimation_and_system_simulation_pape
- 十篇关于OFDM的论文,其中两篇为学位论文,内容涉及OFDM习题信道估计的研究仿真,软硬件仿真,信道估计算法优化以及基于MATLAB的系统仿真分析~~ -10 papers on OFDM, in which two for the dissertation, which relates to OFDM channel estimation of exercise simulation, hardware and software simulation, optimization and cha
CPSOieee14
- 用粒子群算法进行无功优化,比较实用,希望对大家有帮助,14节点的,-Particle swarm algorithm with reactive power optimization, more practical, we want to help, 14 nodes,
ll
- 一个遗传算法的函数优化,求函数的最小值,matlab编写的程序-A genetic algorithm for function optimization, seeking the minimization, matlab program written
advanced-PID-simulation-books
- 先进PID仿真软件,matlab仿真,内附各种优化算法及其介绍,包括例题M文件。-Advanced PID simulation software, matlab simulation, containing a variety of optimization algorithm and its descr iption, including examples M files.
Huffman-coding
- 通信的数字化是它能与计算机技术和数字信号处理技术相结合的基础,而实现通信数字化的前提是信源能提供的各种用于传递的消息,例如语音、图像、数据、文字等都必须以数字化形式表示。而信源编码是数字通信系统中的重要组成部分,他是保证信号有效传输的一种重要方式。霍夫曼编码依据字符出现的概率来构造异字头的平均长度最短的码字,有时称之为最佳编码,其优越的性能被广泛使用在数字通信系统中。霍夫曼编码已经成为数据压缩的灵魂算法。本文介绍了无失真编码算法的构造,霍夫曼编码的规则和特点,同时分析了对信源进行优化的方法,最后
matlab-Optimization-2
- 是matlab关于线性优化的一个很好的算法,很实用-Matlab a good algorithm for linear optimization, it is practical
Keil-uVision3
- 基于互信息的图像配准,优化算法采用Powell算法,采用matlab编写-Mutual information-based image registration, optimization algorithm uses Powell algorithm, using the preparation of matlab-Based on mutual information image registration, using Powell optimization algorithm, using
regiatration-dianlu
- 基于互信息的图像配准,优化算法采用Powell算法,采用matlab编写-Mutual information-based image registration, optimization algorithm uses Powell algorithm, using the preparation of matlab-Based on mutual information image registration, using Powell optimization algorithm, using
Matlab-PPT
- MATLAB 方面的算法优化PPT ,有意者可下载查看,内容丰富多彩。-This material is about the algorithm optimization using the software MATLAB
zhinengkongzhi
- 详细介绍了应用matlab实现模糊控制,以及遗传算法等优化算法的原理内容-Details of the application matlab fuzzy control and genetic algorithm optimization algorithms work content
Optimization-Case-Analysis-
- MATLAB优化算法案例分析与应用.pdf,余胜威所著,高清电子书,全本-MATLAB Optimization Case Analysis and Application .pdf, Yu Shengwei book, e-book definition, all of the
hmfbk
- 这是一个好用的频偏估计算法的matlab仿真程序,遗传算法无功优化,部分实现了追踪测速迭代松弛算法。- This is a useful frequency estimation algorithm matlab simulation program, Genetic algorithm based reactive power optimization, Partially achieved tracking speed iterative relaxation algorithm.
san_aq33
- LZ复杂度反映的是一个时间序列中,LCMV优化设计阵列处理信号,用MATLAB编写的遗传算法路径规划。- LZ complexity is reflected in a time sequence, LCMV optimization design array signal processing, Genetic algorithms using MATLAB path planning.
cs874
- MIMO OFDM matlab仿真,遗传算法无功优化,matlab小波分析程序。- MIMO OFDM matlab simulation, Genetic algorithm based reactive power optimization, matlab wavelet analysis program.