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jtmatlabandex
精通matlab－综合辅导与指南（附例程）(Matlab-versed in a comprehensive counseling and guidance (with routine))
- 2009-10-10 17:03:55下载
- 积分：1
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ga
说明： 遗传算法用于求函数最大值，可以修改函数名和迭代次数(A function of genetic algorithm is used to seek the maximum, you can modify the function name and the number of iterations)
- 2009-11-13 19:13:23下载
- 积分：1
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ofdm
说明： 这是一个测试OFDM的文本文件。你会看到，OFDM可以更好地处理多径信道。(This is a text file for testing OFDM. You will see that OFDM can handle multipath channels much better than QAM.)
- 2010-04-11 21:09:44下载
- 积分：1
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adaptive5
Keyword: FLC - RLS APPROACHES/ techniques
- 2011-07-07 09:44:36下载
- 积分：1
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FromDigtoPWL
Generate PWLF file from Matlab for Cadence spectre simulation
- 2013-12-10 16:20:17下载
- 积分：1
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VCandMatlab
VC++ and Matlab混合编程的快速实现(VC++ And Matlab Mixed Programming rapid realization of)
- 2009-01-08 14:38:33下载
- 积分：1
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dsppart34
From the partial fraction expansion of H(z) we can find a, b
- 2009-04-11 12:11:05下载
- 积分：1
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nonlineshoot
运用打靶法求解非线性常微分方程，简单实用(Shooting method used to solve ordinary differential equation, simple and practical)
- 2010-12-20 08:52:07下载
- 积分：1
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genetic-algorithm
In the computer science field of artificial intelligence, a genetic algorithm (GA) is a search heuristic that mimics the process of natural evolution. This heuristic (also sometimes called a metaheuristic) is routinely used to generate useful solutions to optimization and search problems.[1] Genetic algorithms belong to the larger class of evolutionary algorithms (EA), which generate solutions to optimization problems using techniques inspired by natural evolution, such as inheritance, mutation, selection, and crossover.
Genetic algorithms find application in bioinformatics, phylogenetics, computational science, engineering, economics, chemistry, manufacturing, mathematics, physics, pharmacometrics and other fields.
- 2013-07-16 14:40:19下载
- 积分：1
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PDF-pso
In this project, the standard particles swarm optimization - named here (MyPSO) is simulated and tested by five well-known benchmark functions (Sphere, Ackley, Rastrigin, Rosenbrock and Schwefel p2.26). Then, a new mechanism- named here (Improved MyPSO) is introduced to improve the performance of the standard particles swarm optimization to achieve better results and avoid stagnation at bad results. This new mechanism is also tested by the same benchmark functions. The results of improved PSO are then compared with those of standard PSO and different published improved PSO (SPSO, PSO-XD, CPSO-S and PSO-P5).
- 2013-03-14 15:41:13下载
- 积分：1
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