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SingleBOT
基于遗传算法的多目标优化算法（matlab）(Based on genetic algorithm for multi-objective optimization algorithm (matlab))
- 2013-10-20 13:36:44下载
- 积分：1
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BPSX150sCharacteristics
solar cell modelling
- 2012-10-11 06:20:21下载
- 积分：1
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A201003-1461
压缩感知基本理论：回顾与展望A201003-1461(Advances and Perspectives on Compressed Sensing Theory
)
- 2014-02-04 17:46:10下载
- 积分：1
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speedyGAv1.3
SpeedyGA: A Fast Simple Genetic Algorithm
- 2017-07-27 18:45:41下载
- 积分：1
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1
说明： Fibonacci数列的matlab实现。
- 2010-05-05 22:05:02下载
- 积分：1
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experimentone
信号的产生及频率特性分析。（数字信号处理）(the formation and signal frequency analysis. (Digital signal processing))
- 2006-05-24 23:15:37下载
- 积分：1
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DS_CDMA
针对DS-CDMA系统的QPSK调制方式的MATLAB仿真。(The simulation of QPSK modulation for DS-CDMA system based on MATLAB .)
- 2013-12-01 15:41:38下载
- 积分：1
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2
说明： 有一个长度为整数L(1<=L<=10000)的马路，可以想象成数轴上长度为L的一个线段，起点是坐标原点，在每个整数坐标点有一棵树，即在0,1,2，...，L共L+1个位置上有L+1棵树。
现在要移走一些树，移走的树的区间用一对数字表示，如 100 200表示移走从100到200之间（包括端点）所有的树。
可能有M(1<=M<=100)个区间，区间之间可能有重叠。现在要求移走所有区间的树之后剩下的树的个数。
输入：
两个整数L(1<=L<=10000)和M(1<=M<=100)。
接下来有M组整数，每组有一对数字。
输出：
可能有多组输入数据，对于每组输入数据，输出一个数，表示移走所有区间的树之后剩下的树的个数。(Has a length of integer L (1 < = L < = 10000) of the road, one can imagine a number line segment of length L, the starting point is the coordinate origin, each integer coordinate points in a tree, i.e. 0,1 , 2, ..., L total has L+1 L+1 positions on the tree. Now to remove some trees, tree removed by a range of digitally represented, such as 100 200 represents removed (inclusive) between 100 and 200 all the trees. There may be M (1 < = M < = 100) intervals, there may be overlap between the intervals. Now, after the number of trees require the removal of all remaining sections of the tree. Input: two integer L (1 < = L < = 10000) and M (1 < = M < = 100). Then there is an integer M groups, each with a pair of numbers. Output: there may be multiple sets of input data, for each set of input data, the output of a number indicating the number of the removal of all remaining sections of the tree after tree.)
- 2015-03-22 23:35:47下载
- 积分：1
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beiyesi
1 通过实验，掌握多元正态分布的最大似然估计；
2 掌握多元正态分布下的最小错误率的贝叶斯分类；
3 对其他的参数估计有更深的认识。
(1 experiment, master multivariate normal distribution maximum likelihood estimation 2 multivariate normal distribution under the minimum control error rate Bayesian classifier 3 on the other have a better understanding of parameter estimation.)
- 2010-10-28 11:23:31下载
- 积分：1
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c2812pwmtest_ccslink
matlab与ccs联合仿真自动代码生成(ccs matlab co-simulation with automatic code generation)
- 2011-11-15 17:01:00下载
- 积分：1
