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teshuhanshu
在matlab软件平台上对一些需要调用的特殊函数的计算。(Special function calculation)
- 2013-08-15 18:12:36下载
- 积分：1
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TSP
使用谢菲尔德大学的工具箱遗传算法求解TSP问题(University of Sheffield toolbox using Genetic Algorithm for TSP)
- 2014-10-10 23:05:55下载
- 积分：1
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2005-Boukhezzar-Nonlinear-Control-of-Variable-Spe
2005-Boukhezzar-Nonlinear Control of Variable Speed Wind Turbines for Power Regulation.pdf
- 2013-12-08 18:21:13下载
- 积分：1
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MATLAB_GAMS_interfacing
GAMS是一款强大的数学优化计算软件。本文件包含三本GAMS与MATLAB,EXCEL及其他数据库的交互的电子教程，包括：Interfacing_with_GAMS.pdf；Linking_Matlab_and_GAMS_A_Supplement.pdf；MATLAB_and_GAMS.pdf(GAMS is a powerful mathematical optimization software. This document contains three electronic tutorial GAMS interact with MATLAB, EXCEL and other s, including: Interfacing_with_GAMS.pdf Linking_Matlab_and_GAMS_A_Supplement.pdf MATLAB_and_GAMS.pdf)
- 2016-05-18 16:24:08下载
- 积分：1
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matlab
利用交又我们有可能由父代个体在子代组合成具有更高适合度的个体。(For this part, you are allowed 30 minutes to write a composition on the topic Why Do People Like to Buy Lotteries?)
- 2010-12-02 14:59:20下载
- 积分：1
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bpNeural-network-instance
例1 采用动量梯度下降算法训练 BP 网络。
例2 采用贝叶斯正则化算法提高 BP 网络的推广能力。在本例中，我们采用两种训练方法，即 L-M 优化算法（trainlm）和贝叶斯正则化算法（trainbr），用以训练 BP 网络，使其能够拟合某一附加有白噪声的正弦样本数据。(Example 1 uses the momentum gradient descent algorithm to train the BP network.
Example 2 uses the Bayesian regularization algorithm to improve the generalization ability of BP network. In this example, we use two training methods, the LM optimization algorithm (trainlm) and the Bayesian regularization algorithm (trainbr), to train the BP network to fit a sine sample with white noise data.
)
- 2017-05-09 18:35:02下载
- 积分：1
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WMR
this folder contains a matlab code for wmr coding.
- 2013-08-05 13:33:53下载
- 积分：1
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data-fitting
this program fits a set of data, using customized function.
- 2011-05-21 08:26:28下载
- 积分：1
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tikhonov
Tikhonov.m 纪洪诺夫正则化方法。。。。。(Tikhonov.m Regularization..............)
- 2010-07-12 20:53:39下载
- 积分：1
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Optimal-Reconfiguration-of-Distribution
Power distribution systems have tie and sectionalizing switches whose states
determine the configuration of the network. Reconfiguration of distribution network
is achieved through switching operation on switches of distribution network branches.
Power companies are interested in finding the most efficient configuration for
minimization of real power losses and load balancing among distribution feeders to
save the energy and enhance the operation performance of distribution system.
The objective of this thesis is to show that the ant colony optimization
algorithm can be used successfully in the reconfiguration of electrical distribution
networks to minimize the power losses of the system and to balance the loading of the
feeders. This work is to provide a basis for power companies to use it in the
reconfiguration of the distribution networks to reduce the operational costs and to
enhance the performance of their networks.
- 2014-11-29 18:10:36下载
- 积分：1
