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randlp
monte_carlo法求解非线性规划,有中文注释,可以参考学习(monte_carlo method for solving nonlinear programming, a Chinese comments, you can refer to learning)
- 2011-12-27 21:55:54下载
- 积分:1
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EnhImage
将彩色图像以RGB分为三层,使用直方图对其对比度进行调整,产生预定义的滤波器对图像进行滤波,最后实现图像的增强(RGB color image is divided into three layers, using the histogram to adjust its contrast, produce predefined filters for image filtering, image enhancement and finally realize)
- 2015-03-12 15:01:11下载
- 积分:1
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eigvec
Eigenvectors and their geometric multiplicity.
- 2010-03-06 17:17:25下载
- 积分:1
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a1
说明: Assignment 1 - Linear Algebra
- 2011-06-16 22:58:29下载
- 积分:1
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sunsnchronous
太阳同步卫星及其轨道计算,用于设计太阳同步轨道,并且给出一个实例,介绍卫星轨道参数的计算方法(Sun-synchronous satellites and their orbital calculations for the design of a sun-synchronous orbit, and an example is given, satellite orbit parameters calculation method)
- 2020-12-07 11:39:21下载
- 积分:1
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vehicular-orginal-report@@@@
VEHICULAR DELAY TOLERANT NETWORKS-SURVEY
- 2013-12-23 23:05:47下载
- 积分:1
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mtech
my code for lung cancer detection
- 2013-11-29 22:47:06下载
- 积分:1
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GA(genetic algorithm)遗传算法源代码
区别于传统算法,遗传算法以初始种群中每个个体为“染色体”开始搜索,这些染色体经过一系列的后期迭代不断进化,每一代都以“适应度”衡量其好坏,生成的下一代称为“后代”,后代由前代经过交叉、变异产生。染色体被选中的概率和其适应度高低相关,最后,算法收敛于最好的染色体。一般的遗传算法基本步骤如下:1.确定编码方案,随机生成初始种群;2.确定适应度函数,计算每个个体的适应度,判断是否符合相应准则,如果符合,则输出最优解,若不符合,则进入第3步;3.根据适应度选择再生个体,适应度越高,被选中的概率越高,适应度越低,被淘汰的可能性越大;4.交叉以产生新个体;5.变异以产生新个体6.根据第4步和第5步生成新种群,返回第2步,直到符合相应准则并输出最优个体与代表的最优解。
- 2022-03-30 07:13:17下载
- 积分:1
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MamLand
MamLand 用 construct Mamdani fuzzy 干预系统法来评估滑坡持续过程。 (MamLand is designed specifically to construct Mamdani fuzzy inference system for the Landslide Susceptibility Assessment. )
- 2012-04-03 14:45:40下载
- 积分:1
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NSString.m
NSString框架的学习,包括NSNumber等
NSString框架的学习,包括NSNumber等(NSString framework of learning, including learning NSNumber etc. NSString framework, including NSNumber etc.)
- 2013-12-30 17:33:53下载
- 积分:1