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Simulation_for_Cellular_Neural_Networks(CNN)
Simulation for Cellular Neural Networks (CNN)
- 2010-07-07 13:07:07下载
- 积分：1
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matlab_cola
程序为MATLAB编写的精馏塔静态模拟程序，包括泡点计算，活度系数计算等(Program written in MATLAB for the static simulation distillation process, including bubble point calculation, calculation of activity coefficients)
- 2011-08-23 02:51:10下载
- 积分：1
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genheaders
This file is automatically generated.
- 2014-10-17 14:08:52下载
- 积分：1
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adaptive
mimo-ofdm 自适应的比特:分配按照信道响应降序排列,子载波间争夺比特和功率步长为2(mimo-ofdm adaptive bit: assigned in descending order according to the channel response, the rivalry between subcarriers bit and power step 2)
- 2013-03-28 19:34:07下载
- 积分：1
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Up_synchronization_Dick
The timing_recovery_1.mdl uses Simulinks variable step solver to create a continous time
QPSK signal with both carrier and symbol rate errors. This is a relativly straight forward
approach, but is computationally expensive.
The sescond model, timing_recovery_2Q.mdl uses a purely discrete time approach using the
same fractional sample delay approach as does the receiver. This can run much faster.
- 2012-01-04 13:42:55下载
- 积分：1
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tsp
蕞优分组周游路线问题是一类物流智能调度问题，是众多的计算难度极大的组合爆炸问题之一。自从运输问题最早是由Hitchcock在1941年提出的[2][4]后，人们对这一类问题给予了极大的关注并进行了大量的研究，提出了有效解决问题的优化算法——单纯形法的变形[2]。但由于问题规模的扩大，纯数学方法在允许的时间和空间上都很难找到问题的最优解，于是人们开始转向寻找问题的近似最优解，遗传算法以其在求解最优化问题中的独特的自组织性、自适应性很快进入人们的视野。 经典的遗传算法对于求解多目标的NP完全性问题非常有效，但对于有多个限制条件的多目标最优化问题缺显得有点力不从心，很难得到稳定度较高、收敛较快的解。本文提出的双层遗传算法模型给这一类问题提供了一个很好的解决方法，虽然建模条件限制了描述的问题的通用性，有待推广，但它能有效利用问题的领域知识，提高了求解效率，保证了解的可行性和最优性，算法思想极具推广潜力，可在其它物流智能调度问题求解算法设计中借鉴。(The most optimal packet travel route problem is a kind of intelligent logistic scheduling problem is one of combinatorial calculation difficult problem many. Since the transportation problem was first proposed by Hitchcock in 1941 after the [2][4], the people of this class of problems given great attention and made a lot of research, the deformation of [2] optimization, simplex method algorithm is effective to solve the problem of. But due to the expansion of the scale of the problem, the pure mathematical methods in the allowed time and space are very difficult to find the optimal solution of the problem, so people begin to turn to the approximate optimal solution for the problem, genetic algorithm in solving optimization problems with its unique in the self-organizing, adaptive soon entered people s field of vision. Very effective classical genetic algorithm for solving multi-objective NP complete problems, but for the multi-objective optimization problem with multiple constraints. I)
- 2014-08-18 10:05:55下载
- 积分：1
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Aeq_Beq_A_B
悬置功能计算的，能量解耦的方法，优化及其位移的计算(The calculation of suspended function, energy decoupling method, optimization and calculation of displacement)
- 2020-12-05 13:19:24下载
- 积分：1
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WAP-to-generate-a-random-noise-of-amplitude
WAP to generate a random noise of amplitude
- 2014-08-16 21:48:38下载
- 积分：1
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IM
说明： modeling of Induction Motor using, voltage, flux and torque equations
- 2013-09-26 04:24:50下载
- 积分：1
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CHAP4
pid，神经网络，模糊控制,专家控制，一些有用的案列(pid, neural networks, fuzzy control, expert control, some useful text columns)
- 2014-10-30 19:46:51下载
- 积分：1
