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GAbp
遗传算法程序包，包括用GA直接训练BP网络的权重算法，用GA先求BP网络的权重，再用纯BP直接训练BP的混合GA－BP算法，以及纯BP算法(Genetic Algorithm package, including direct training GA weight of BP network algorithm, first used GA for the weight of BP network, and then trained BP net BP mixed directly GA-BP algorithm, as well as the pure BP algorithm)
- 2009-04-24 23:24:23下载
- 积分：1
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hNXYYJCCu
人体脑信号波形检测与分析，，包含自相关，功率谱分析的方法
(Detection and analysis of the human brain signal waveform contains autocorrelation, power spectrum analysis method)
- 2012-09-08 14:26:52下载
- 积分：1
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3_DGPlaceOptimImperiCompAlgo
DG Placement optimization in 33-bus and 69-bus distribution power systems using Imperialistic Competition optimization algorithm.
- 2020-11-13 23:39:43下载
- 积分：1
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TRACK
MATLAB programing for engineering
- 2010-07-21 00:25:41下载
- 积分：1
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Calculator
这是在MATLAB7.0.1版本上实现的一个简单的模拟计算器的界面和功能的程序，主要给有一定基础的初学者提供参考，希望对大家有帮助。(This is the version at MATLAB7.0.1 on the implementation of a simple analog calculator function interface and procedures, the main foundation for the beginner must have a reference, in the hope that everyone has to help.)
- 2009-04-03 20:44:12下载
- 积分：1
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DBPSK
DBPSK，包括误码率统计和误符号率统计(DBPSK, including bit error rate and symbol error rate statistics Statistics)
- 2010-12-30 21:21:34下载
- 积分：1
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numgrad
function [g, badg] = numgrad(fcn,x,varargin)
- 2010-03-04 17:00:38下载
- 积分：1
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GM1
源代码的作用是建立灰色GM(1,1)模型、模拟和预测！！！！！！！！(Modeling,Forecasting based on GM(1,1) Model!!!)
- 2014-08-22 09:21:15下载
- 积分：1
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byjq
一个关于图像边缘检测的实用程序-A practical program for image edge check(One on edge detection utility-A practical program for image edge check)
- 2014-01-06 20:25:41下载
- 积分：1
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FR
说明： 共轭梯度法（Conjugate Gradient）是介于最速下降法与牛顿法之间的一个方法，它仅需利用一阶导数信息，但克服了最速下降法收敛慢的缺点，又避免了牛顿法需要存储和计算Hesse矩阵并求逆的缺点，共轭梯度法不仅是解决大型线性方程组最有用的方法之一，也是解大型非线性最优化最有效的算法之一。 在各种优化算法中，共轭梯度法是非常重要的一种。其优点是所需存储量小，具有步收敛性，稳定性高，而且不需要任何外来参数。(The Conjugate Gradient method is a method between the steepest descent method and the Newton method. It only needs to use the first derivative information, but overcomes the shortcomings of the steepest descent method and avoids the need for the Newton method to store And the calculation of Hesse matrix and the inverse of the shortcomings, conjugate gradient method is not only to solve large-scale linear equations one of the most useful methods, but also solution for large-scale nonlinear optimization of one of the most effective algorithm. In a variety of optimization algorithms, conjugate gradient method is a very important one. The advantage is that the required storage capacity is small, with step convergence, high stability, and does not require any external parameters.)
- 2017-05-05 10:26:25下载
- 积分：1
