matlab code forecasting using pso

Abstract

Load forecasting has become a very crucial technique for the efficient functioning of the power system. This paper presents a methodology for the short term load forecasting problem using the similar day concept combined with fuzzy logic approach and particle swarm optimization. To obtain the next-day load forecast, fuzzy logic is used to modify the load curves of the selected similar days of the forecast previous day by generating the correction factors for them. These correction factors are then ap ....etc

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plz
i want matlab code of pso algorithmg for image denoising
thanks for all ....etc

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filelist
psosvm
..\Examples
..\..\Classification
..\..\..\iris1v23.mat
..\..\..\iris2v13.mat
..\..\..\iris3v12.mat
..\..\..\linsep.mat
..\..\..\nlinsep.mat
..\..\Regression
..\..\..\example.mat
..\..\..\sinc.mat
..\..\..\titanium.mat
..\Optimiser
..\..\Makefile
..\..\ pr_loqo.c
..\..\ pr_loqo.h
..\..\ qp.c
..\..\qp.dll
..\best.mat
..\ binomial.m
..\cancer_input.mat
..\cancer_output.mat
..\ centrefig.m
..\ Classification_SVM_SteveGunn.asv
..\ Classification_SVM_SteveGunn.m
..\cmap.mat
..\ Contents.m
..\ fx.a ....etc

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To get full information or details of fractal image compression please have a look on the pages

http://seminarsprojects.net/Thread-fractal-compression-ppt

http://seminarsprojects.net/Thread-fractal-image-compression

if you again feel trouble on fractal image compression please reply in that page and ask specific fields in fractal image compression ....etc

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Huber Fractal Image Compression is done in JAVA , and its A new similarity measure for fractal image compression (FIC) and Huber fractal image compression (HFIC), the linear Huber regression technique from robust statistics is embedded into the encoding procedure of the fractal image compression. When the original image is corrupted by noises, fractal image compression scheme should be insensitive to those noises presented in the corrupted image. This leads to a new concept of robust fractal image compression. The proposed HFIC is attempts to ....etc

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Time-dispersive channels can cause intersymbol interference (ISI), a form of distortion that causes symbols to overlap and become indistinguishable by the receiver. For example, in a multipath scattering environment, the receiver sees delayed versions of a symbol transmission, which can interfere with other symbol transmissions. An equalizer attempts to mitigate ISI and improve receiver performance. Communications System Toolbox provides equalization capabilities using one or more Simulink blocks, System objects, or MATLAB functions.

This ....etc

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Fractal Image Compression



Introduction

1.1 Compression

With the advent of multimedia, the necessity for the storage of large numbers of high quality images is increasing. One obstacle that has to be overcome is the large size of image files. For example, a single 800- by 600-pixel true-colour image requires three bytes per pixel, plus a header, which amounts to over 1.37 Mb of disk space, thus almost filling a 1.4Mb high-density diskette. Clearly, some form of compression ....etc

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To get full information or details of spiht image compression algorithm please have a look on the pages

http://seminarsprojects.net/Thread-modified-spiht-algorithm-for-wavelet-packet-image-coding

http://seminarsprojects.net/Thread-image-compression-using-spiht-using-matlab-code?pid=113008

if you again feel trouble on spiht image compression algorithm please reply in that page and ask specific fields in spiht image compression algorithm ....etc

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Abstract

Particle swarm optimization is a stochastic global optimization algorithm that is based on swarm intelligence. Because of its excellent performance, particle swarm optimization is introduced into fuzzy entropy image segmentation to select the optimal fuzzy parameter combination and fuzzy threshold adaptively. In this study, the particles in the swarm are constructed and the swarm search strategy is proposed to meet the needs of the segmentation application. Then fuzzy entropy image segmentation based on particle swarm optimization is ....etc

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INTRODUCTION
The subject of this work is image compression with fractals. Today JPEG has become an industrial standard in image compression. Further researches are held in two areas, wavelet based compression and fractal image compression. The fractal scheme was introduced by Michael F Barnsley in the year 1945.His idea was that images could be compactly stored as iterated functions which led to the development of the IFS scheme which forms the basis of fracta ....etc

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