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shang
信息理论与编码——关于二进制熵的matlab仿真程序(Information Theory and Coding- on the binary entropy matlab simulation program)
- 2008-05-12 05:35:27下载
- 积分：1
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gcc
Generalised Cross Correlation Algorithms. It is useful to estimate the time delay in almost all situations
- 2013-12-03 18:16:56下载
- 积分：1
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bookTest_circleData
一个神经网络，对100个分布在单位圆上的数据点进行分类。(A neural network, 100 distributed on the unit circle data points classification.)
- 2013-12-23 09:25:07下载
- 积分：1
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SINS
使用C语言写的捷联惯导解算程序，四子样旋转矢量(Using C language to write the strapdown inertial navigation program, four sample rotation vector)
- 2017-05-25 23:41:46下载
- 积分：1
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Ekman风海流随时间Ekman
说明： 运用Crank-Nicholson差分格式，模拟不同初始风场、垂向涡动系数和风应力拖曳系数下，Ekman风海流随时间的变化情况。(The crank Nicholson difference scheme is used to simulate the change of Ekman wind current with time under different initial wind field, vertical eddy coefficient and wind stress drag coefficient.)
- 2020-07-16 13:38:49下载
- 积分：1
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06matlab-FIR
说明： matlab FIR 底通和带通滤波器和IIR 底通和带通滤波器完整程序(Matlab fir bottom pass and band-pass filter and IIR bottom pass and band-pass filter complete program)
- 2020-09-24 10:52:46下载
- 积分：1
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Esferico
matlab water filling mimo, mimo bpsk
- 2010-10-08 01:25:31下载
- 积分：1
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FCTSphgas
Twe-dimensional of streamers in gas by FTC
- 2010-11-04 16:04:31下载
- 积分：1
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pso
A modified version of PSO algorithm which can be used to search the minimum value inside a specified range. Using f1s.m to test the function!
- 2009-05-07 21:15:49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
