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Hopfield
Hopfield网络的TSP问题求解,能够出图的,哈哈啊哈哈哈哈哈哈哈哈(Hopfield network to solve TSP problems)
- 2011-05-12 17:41:04下载
- 积分:1
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g
说明: 跳频参数估计论文通过各种时频分析方法进行处理(Hopping parameters estimated paper through a variety of time-frequency analysis method for processing)
- 2012-09-17 13:15:51下载
- 积分:1
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theNewtonlaw
简单电力系统的牛顿法潮流计算收敛初步分析程序(preliminary study a simple system’s convergent character of the Newton s law applied to calculate the flow.)
- 2010-08-12 18:59:00下载
- 积分:1
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New-Iterative-Method(DIY)
说明: 可实现,实用,迭代法(新创新),基于改进的迭代法图像分割算法(源码), 核心思想:先添加高斯噪声,然后新迭代分割算法,最后显示自动计算的阈值。
(Can realize, practical, the iterative method (new innovation), the iterative method based on improved image segmentation algorithm (source), core ideas: first add gaussian noise, then new iteration segmentation algorithmFinally,finally shows the threshold automatic calculation. )
- 2011-04-06 21:33:49下载
- 积分:1
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毕设编程
说明: 利用动态规划算法求解最优路径,混合动力卡车、扭矩分配,SOC估计(Using dynamic programming algorithm to solve the optimal path)
- 2021-04-09 12:40:36下载
- 积分:1
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chaossystemsimulation
讲述了混沌系统的三种典型系统,并通过仿真图说明混沌系统对初始值的敏感性(About the chaotic system of three typical systems, and illustrated through the simulation of chaotic systems on the sensitivity of the initial value)
- 2007-12-26 19:46:23下载
- 积分:1
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prodat
输入字母和目标矢量产生程序,matlab编程(Enter the letters and the target vector generation process, matlab programming)
- 2008-01-06 16:16:53下载
- 积分:1
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neuralnetworkdesignusingsteepestdescentalgorithm
Neural Network with multiple inputs and multiple output with training data in file name Twod is trained using steepest descent algorithm.After training data ,we can test a new set of data
- 2010-11-14 09:30:25下载
- 积分:1
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Midacomo
MIDACO是一般的优化问题求解器。 MIDACO可应用于连续(NLP),离散/整数(IP)和混合整数(MINLP)的问题。问题可能被限制在平等和/或不等式约束。 MIDACO适合多达数百至几千优化变量的问题。 MIDACO实现了一个自由衍生物,启发式算法的处理方法处理的问题,因为黑盒可含有关键功能特性,如非凸性,不连续或随机噪声。(MIDACO is a solver for general optimization problems. MIDACO can be applied to continuous (NLP), discrete/integer (IP) and mixed integer (MINLP) problems. Problems may be restricted to equality and/or inequality constraints. MIDACO is suitable for problems with up to several hundreds to some thousands of optimization variables. MIDACO implements a derivative-free, heuristic algorithm that treats the problem as black-box which may contain critical function properties such as non-convexity, discontinuities or stochastic noise.)
- 2016-02-27 15:27:00下载
- 积分:1
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SIR_PF_test3
基本粒子滤波算法的实现, 同时包含了仿真测试案例(the basic particle filter algorithm, including a case study.)
- 2020-06-20 23:00:01下载
- 积分:1