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bianjiezhuliejianche
实现一维边界逐列检测，程序可在MATLAB环境下运行(achieve an out-by-dimensional border detection process will be run under MATLAB)
- 2007-05-07 10:47:16下载
- 积分：1
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PrgmUpd
dear sir i have uploaded a few programs for your consideration
- 2011-06-09 14:34:20下载
- 积分：1
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omap_hwmod_33xx_data
Hardware modules present on the AM33XX chips.
- 2014-08-09 11:46:09下载
- 积分：1
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sagar
mitigation inrush current
- 2013-03-17 04:14:56下载
- 积分：1
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matlab语音识别系统(源代码)
基于mfcc参数的语音识别，matlab代码，可以对孤立语音词识别(Speech recognition based on MFCC parameters, matlab code, can identify isolated speech words)
- 2018-03-15 12:43:47下载
- 积分：1
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PNN
I used the newpnn function to create a PNN, then used the sim
function to classify the the training data set, which was used to
create the neural network.
- 2011-11-09 11:52:03下载
- 积分：1
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FM_M
仿真了FM信号产生和调制的过程，方法简单，内容详尽，已经过调试。(Simulation of the FM signal and modulation process, the method is simple, detailed, has been testing.)
- 2013-12-12 00:17:31下载
- 积分：1
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在Matlab/Simulink中搭建的步进电机、单相异步电机、直流无刷电机三种驱动系统的仿真模型
在Matlab/Simulink中搭建的步进电机、单相异步电机、直流无刷电机三种驱动系统的仿真模型，来对比仿真其速度响应动态性能(In Matlab/Simulink to build the step into the motor, single-phase asynchronous motor, DC brushless motor drive system simulation model, and compared the simulation speed of dynamic response performance of a)
- 2015-05-16 16:40:23下载
- 积分：1
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Laplacian_Eigenmaps
拉普拉斯特征映射算法，可实现高维信号降维或实现带内滤波降噪。(Laplace feature mapping algorithm, can achieve high dimensional signal dimensionality reduction or implement band noise filtering.)
- 2020-11-20 17:49:38下载
- 积分：1
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D_star_PathPlanning-master
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)
- 2021-04-17 17:50:13下载
- 积分：1
