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FGseg
RUNME.m -- example using of the foregorund extractor.
Nicholas R. Howe
March 10, 2005.
Please read copyright.txt
( RUNME.m-- example using of the foregorund extractor.
Nicholas R. Howe
March 10, 2005.
Please read copyright.txt
)
- 2010-10-15 21:24:44下载
- 积分：1
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MATLAB
此文档涵盖了Matlab初学者和有一定基础的学者，在编程过程中遇到的指令方面的集合。(This document covers the Matlab have a certain foundation for beginners and scholars, in the programming process encountered in a collection of directives.)
- 2008-04-18 16:34:42下载
- 积分：1
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zhixin
使用MATLAB进行图像质心提取，用于求取质心坐标(MATLAB for image centroid extraction for obtaining centroid coordinates)
- 2014-09-18 19:44:24下载
- 积分：1
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Matlab hslogic算法仿真
hslogic算法仿真,基于MATLAB的TSP算法的优化仿真与性能分析(Hslogic algorithm simulation, optimization simulation and performance analysis of TSP algorithm based on MATLAB)
- 2020-06-22 02:40:01下载
- 积分：1
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inldnl
使用matlab 仿真adc inldnl，源代码(Use matlab simulation adc inldnl, the source code)
- 2010-01-21 15:28:13下载
- 积分：1
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Salt_pepper_noise_deblurring
This is a code to reduce the salt-pepper noise in a figure by filtering.
- 2009-06-23 01:44:23下载
- 积分：1
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rand03.6
In order to minimize power losses caused by high current and improve the voltage profile in the network distribution, the introduction of dispersed generations also called productions decentralized in distribution network (DG) plays an important role. The installation of DGs directly affects the power requested or purchased. The sizing and placement of DGs in the system must be optimal because a wrong choice has a negative impact on the system behavior. To solve this combinatorial problem, an algorithm known as Firefly algorithm is proposed in this paper. This is a meta-heuristic algorithm inspired by the behavior of fireflies flashing. The main objective of firefly flash is to act as a signaling system to attract other fireflies. Networks tested IEEE69-bus and IEEE33-bus are used to evaluate the effectiveness of this method. The results are compared with those obtained by genetic algorithm (GA) to IEEE69-bus, and Shuffled frog leaping algorithm (SFLA) for IEEE 33-bus.
- 2013-12-16 14:22:43下载
- 积分：1
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SaDE_ELM
说明： 差分进化算法基于优化极限学习机，做相应的预测(Limit learning machine for differential evolution optimization)
- 2021-02-18 14:29:45下载
- 积分：1
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优秀论文及配套源码 SVM Short-term-Load-Forecasting
优秀论文及配套源码。首先阐述了负荷预测的应用研究现状，概括了负荷预测的特点及其影响因素，归纳了短期负荷预测的常用方法，并分析了各种方法的优劣；接着介绍了作为支持向量机（SVM）理论基础的统计学习理论和SVM的原理，推导了SVM回归模型；本文采用最小二乘支持向量机（LSSVM）模型，根据浙江台州某地区的历史负荷数据和气象数据，分析影响预测的各种因素，总结了负荷变化的规律性，对历史负荷数据中的“异常数据”进行修正，对负荷预测中要考虑的相关因素进行了归一化处理。LSSVM中的两个参数对模型有很大影响，而目前依然是基于经验的办法解决。对此，本文采用粒子群优化算法对模型参数进行寻优，以测试集误差作为判决依据，实现模型参数的优化选择，使得预测精度有所提高。实际算例表明，本文的预测方法收敛性好、有较高的预测精度和较快的训练速度。(first expounds the recent application research of load forecasting, summarized the characteristics of load forecasting and influencing factors, summed up common methods of short-term load forecasting, and analyzed the advantages and disadvantages of each method then introduced statistical learning theory and the principle of SVM as the basis of support vector machine (SVM ) theory, SVM regression model is derived this paper adopted least squares support vector machine (LSSVM) model, according to the historical load data and meteorological data of a certain area of Zhejiang Taizhou, Analysised the various factors affecting the forecast, summed up the regularity of load change , amended "outliers" in the historical load data,the load forecasting factors to be considered were normalized. The two parameters of LSSVM have a significant impact on the model, but it is still soluted based on the experience currently. So, this paper adopted particle swarm optimization algorithm to optimized )
- 2021-04-01 17:09:08下载
- 积分：1
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01240570
关于hilbert 空间填充曲线算法的应用(Hilbert space filling curve algorithm)
- 2012-05-30 10:57:46下载
- 积分：1
