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model5b
数学建模\清华数模讲义model5b ( Mathematical Modeling Qinghua digital-analog handouts model5b)
- 2010-01-13 23:23:58下载
- 积分:1
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Matlab_examples
说明: Matlab实用100个例子,可以帮助初学者入门,很实用的哦,(100 examples of Matlab utility that can help beginners and entry, it is useful Oh,)
- 2008-12-04 03:07:26下载
- 积分:1
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PSO-ACPSOduibi
粒子群和自适应混沌粒子群算法的程序,作了简单对比(Chaos particle swarm optimization and adaptive particle swarm optimization program, made a simple comparison)
- 2020-12-28 22:49:01下载
- 积分:1
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robotcuatrogrados
Simulador de orientacion posicion de un brazo robotico de cuatro grados de libertad, en GUI de matlab.
- 2009-04-02 23:18:28下载
- 积分:1
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06
说明: 数学实验matlab的好程序,给matlab的初学者(Good mathematical experiment matlab program to matlab for beginners)
- 2011-03-20 19:47:31下载
- 积分:1
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60101
gui calculator for matlab
- 2015-04-17 02:15:21下载
- 积分:1
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Untitled3
说明: 隐马尔科夫模型的实现,可以使用的,很简单(hmm,is very simple)
- 2011-04-17 10:28:23下载
- 积分:1
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bbbb
摘 要:提出一种新的基于Pareto多目标进化免疫算法(PMEIA)。算法在每一代进化群体中选取最优非支配抗体保存到记忆细胞文档中 同时引入Parzen窗估计法计算记忆细胞的熵值,根据熵值对记忆细胞文档进行动更新,使算法向着理想Pareto最优边界搜索。此外,算法基于点在目标空间分况进行克隆选择,有利于得到分布较广的Pareto最优边界,且加快了收敛速度。与已有算法相比, PMEIA在收敛性、多样性,以及解的分布性方面都得到很好的提高。(Abstract:This paperproposed a new pareto-based multi-object evolutionary mi mune algorithm(PMEIA). PMEIA selected
optmi alnon-dominated antibodieswhichwere then reserved inmemory cellarchive, and introducedParzenwindow to calculate
entropy ofmemory cells. Updated thememory cell archive according to entropy ofmemory cells. This guarantees the conver-
gence to the true Pareto fron.t Moreover, the performance of clone selection was dependent on distribution in the objective
space, whichwas favorable forgetting awidely spreadPareto frontand mi proving convergence speed. Comparedwith the exis-
ted algorithms, the obtained solutions ofPMEIA havemuch betterperformance in the convergence, diversity and distribution.)
- 2010-01-09 13:08:12下载
- 积分:1
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High-accuracy-Optical-Flow
High accuracy optical flow using a theory for warping(The files optical_flow_brox.m and
optical_flow_sand.m are the files you need to run.
optical_flow_brox.m implements the traditional algorithm. Just replace the first lines where images are read, with your image, and start the process.
optical_flow_sand.m implements a variant presented in CVPR 2006. Again just replace the lines "img1 = imread( ... )" and "img2 = imread( ... )" with your images and the rest is automatic.
The variable num_levels controls the number of images in the laplacian pyramid to be constructed. Change it to suit your convenience.)
- 2013-10-03 22:25:17下载
- 积分:1
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Mushroom_1_2a
Project SmartGREEN Control 1.2a
Main Program [Arduino]
- 2013-12-06 10:04:31下载
- 积分:1