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xingguanfx
运用相关分析法来进行系统辨识，采用的是M序列输入信号。(Carried out using correlation analysis, system identification, using the M sequence input signal.)
- 2010-06-25 12:27:31下载
- 积分：1
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cr
说明： 对认知无线电算法的详细论述，有利于初学认知无线电的人(Cognitive radio algorithms to detail and is conducive to learning cognitive radio people)
- 2009-05-25 20:09:19下载
- 积分：1
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LQR
单级倒立摆LQR控制，通过LQR控制，为了使系统具有快速的响应，对Q矩阵中的参数Q11和Q33进行调整。(Linear Quadratic Regulator——LQR，adjust
the parameter of the Q，fasting the response rate)
- 2015-01-12 01:00:26下载
- 积分：1
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GeneticAlgorithm
遗传算法(GeneticAlgorithm)实例(Genetic Algorithm (GeneticAlgorithm) examples)
- 2007-12-06 22:49:06下载
- 积分：1
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BP1
置信传播算法用于无环图时的误码率的检验。(this program is a detection of the error bit when the BP algorithm used in the cycle free graph.)
- 2012-06-07 00:24:45下载
- 积分：1
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s7-200-samples
西门子 s7-200 samples，包括循环、中断、转换、计时器。表指令等。(Siemens s7-200 samples, including loops, interruption, conversion, timer. Table directives.)
- 2013-11-11 10:08:07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
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eigvalue
自己编写的求解本证值的程序，用以对崩政治求解方法的理解，也可以做成其它线性代数程序的子函数(their preparation for the certification of the value of the procedure to solve the political collapse of understanding, can also cause other linear algebra procedures Functions)
- 2007-04-10 18:40:47下载
- 积分：1
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Desktop
matlab毕业编程【谷速软件】动态轮廓的实施和测试平台的GUI (Graduation matlab software programming [Valley] GUI dynamic contour speed implementation and test platform)
- 2014-12-17 23:23:24下载
- 积分：1
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matab-code-quantum-pso-algorithm
The quantum particle swarm optimization (QPSO) applies the quantum computing theory to particle swarm optimization, and thus has the advantages of both quantum computing theory and particle swarm optimization, so it has a faster convergence rate and a more accurate convergence value.
- 2021-03-18 10:49:20下载
- 积分：1
