Last edited by Teramar
Monday, May 18, 2020 | History

3 edition of Harmonic analysis using neural networks. found in the catalog.

Harmonic analysis using neural networks.

Wan Shun Vincent Tsui

Harmonic analysis using neural networks.

by Wan Shun Vincent Tsui

  • 188 Want to read
  • 40 Currently reading

Published by National Library of Canada in Ottawa .
Written in English


Edition Notes

Thesis (M.A.Sc.) -- University of Toronto, 2002.

SeriesCanadian theses = -- Th`eses canadiennes
The Physical Object
Pagination2 microfiches : negative.
ID Numbers
Open LibraryOL20682219M
ISBN 10061273966X
OCLC/WorldCa54065884

Water level forecasting at various time intervals using records of past time series is of importance in water resources engineering and management. In the last 20 years, emerging approaches over the conventional harmonic analysis techniques are based on using Genetic Programming (GP) and Artificial Neural Networks (ANNs). In the present study, the GP is used to forecast sea level . An introduction to Neural Networks Ben Krose Patrick van der Smagt.. Eigh th edition No v em ber. c The Univ ersit yof Amsterdam P ermission is gran ted to distribute single copies of this book for noncommercial use as long it is distributed a whole in its original form and the names of authors and Univ ersit y Amsterdam are men tioned P File Size: 1MB.

The paper presents a new approach based on wavelet and neural network for the estimation of harmonic components in the power system. This proposed method preprocesses the signal using wavelet analysis to get feature extraction of signals. Then it analyses and calculates the feature vector by the artificial neural network (ANN), and the harmonic components of the current can be got. This paper proposes a neural network solution methodology for the problem of measuring the actual amount of harmonic current injected into a power network by a non-linear load. The determination of harmonic currents is complicated by the fact that the supply voltage waveform is distorted by other loads and is rarely a pure sinusoid. A recurrent neural network architecture based method is used.   Harmonic Analysis and Deep Learning 1. Harmonic Analysis & Deep Learning Sungbin Lim 2. In this talk Mathematical theory about filter, activation, pooling through multi-layers based on DCNN Encompass general ingredients Lipschitz continuity & Deformation sensitivity WARNING: Very tough mathematics without non-Euclidean geometry (e.g. Geometric DL).

Timbre Analysis of Music Audio Signals with Convolutional Neural Networks Jordi Pons, Olga Slizovskaia, Rong Gong, Emilia Gomez and Xavier Serra´ Music Technology Group, Universitat Pompeu Fabra, Barcelona. [email protected] Abstract—The focus of this work is to study how to efficiently tailor Convolutional Neural Networks (CNNs) towards Cited by: 7. Procedure for the study and the analysis of harmonic disturbance 3 INDEX page 1 Harmonic disturbance on our installation 5 Technical costs 7 Economic costs 7 2 Effect of harmonics on the power system 8 What are harmonics? 9 What generates harmonics? 10 Intensity - harmonic voltage relationship 11 What effects do harmonics produce? 12 3 How to analyse harmonic File Size: 1MB. ADAPTIVE HARMONIC COMPONENTS DETECTION AND USING NEURAL NETWORKS Leonid Lyubchyk tural wave analysis. For method (A) the forecasting formula is k p s Yk+p =Yk+p +Y +) ~, (18) where s Yk+p is a trend component and Yk+p ~ is a wave component forecast.


Share this book
You might also like
Many a glorious morning.

Many a glorious morning.

The departure

The departure

Civil rights, the Constitution, and the Courts

Civil rights, the Constitution, and the Courts

Daily Herald and higher wages.

Daily Herald and higher wages.

What every director wants to know about the business

What every director wants to know about the business

World plight

World plight

Sexual orientation and human rights

Sexual orientation and human rights

A history of the Torksey and Mansfield china factories

A history of the Torksey and Mansfield china factories

Sewage Sludge Composting Seminar, held September 25th and 26th, 1979, Concord, California

Sewage Sludge Composting Seminar, held September 25th and 26th, 1979, Concord, California

Summary of papers presented at agricultural research forum

Summary of papers presented at agricultural research forum

The practical book of bicycling

The practical book of bicycling

Consideration of H.R. 6976.

Consideration of H.R. 6976.

How to run a paperback bookshop

How to run a paperback bookshop

Index, registration of U.S. citizens, Jerusalem, 1914-1918

Index, registration of U.S. citizens, Jerusalem, 1914-1918

Harmonic analysis using neural networks by Wan Shun Vincent Tsui Download PDF EPUB FB2

SyntaxTextGen not activatedNeural networks covered include the feedforward neural network pdf the self organizing map. This book provides an ideal supplement to our other neural books. This book is ideal for the reader, without a formal mathematical background, that seeks a more mathematical description of neural networks/5(36).A back-propagation neural network method is proposed for accurate frequencies, Advances in Neural Networks – ISNN International Symposium on Neural Networks.

ISNN approach in the asynchronous case is relatively better than that of the estimates obtained with the conventional harmonic analysis by: 2.When Harmonic Analysis Meets Machine Ebook Lipschitz Analysis of Deep Convolution Networks Radu Balan Department of Mathematics, AMSC, CSCAMM and NWC University of Maryland, College Park, MD Joint work with Dongmian Zou (UMD), Maneesh Singh (Verisk) Octo IEEE Computational Intelligence Society and Signal Processing Society.