Wavelet Neural Network Algorithms with Applications in Approximation Signals

被引：0

作者：

Dominguez Mayorga, Carlos Roberto ^{[1
]}

Espejel Rivera, Maria Angelica

Ramos Velasco, Luis Enrique ^{[2
]}

Ramos Fernandez, Julio Cesar ^{[3
,4
]}

Escamilla Hernandez, Enrique ^{[3
]}

机构：

[1] Univ Politecn Metropolitana Hidalgo, Camerino Mendoza 318, Pachuca 42040, Hgo, Mexico

[2] Univ Salle Pachuca, Campus La Concepcion, Hidalgo, Mexico

[3] Univ Autonoma del Estado Hidalgo, Ctr Investigacion Tecnologias Inform Syst, Hidalgo, Mexico

[4] Univ Politenica Pachuca, Carretera Pachuca Cd, Hidalgo, Mexico

来源：

ADVANCES IN SOFT COMPUTING, PT II | 2011年 / 7095卷

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper we present algorithms which are adaptive and based on neural networks and wavelet series to build wavenets function approximators. Results are shown in numerical simulation of two wavenets approximators architectures: the first is based on a wavenet for approach the signals under study where the parameters of the neural network are adjusted online, the other uses a scheme approximators with an IIR filter in the output of wavenet, which helps to reduce convergence time to a minimum time desired.

引用

页码：374 / +

页数：3

共 50 条

[1] Wavelet Neural Network for classification of transient signals
Tollig, CJA
Hoffman, AJ
COMSIG '97 - PROCEEDINGS OF THE 1997 SOUTH AFRICAN SYMPOSIUM ON COMMUNICATIONS AND SIGNAL PROCESSING, 1997, : 161 - 166
[2] A Wavelet neural network for detection of signals in communications
Gomez-Sanchez, R
Andina, D
WAVELET APPLICATIONS V, 1998, 3391 : 265 - 274
[3] Wavenet Algorithms with Applications in Approximation Signals: A Comparative Study
Dominguez Mayorga, C. R.
Espejel Rivera, M. A.
Ramos Velasco, L. E.
Ramos Fernandez, J. C.
Escamilla Hernandez, E.
REVISTA IBEROAMERICANA DE AUTOMATICA E INFORMATICA INDUSTRIAL, 2012, 9 (04): : 347 - 358
[4] Fast converging algorithms for neural network approximation
Dingankar, AT
PROCEEDINGS OF THE 36TH IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-5, 1997, : 3905 - 3907
[5] Implicit Approximation of Neural Network and Applications
Li, Dao-lun
Lu, Do-tang
Zha, Wen-shu
SPE RESERVOIR EVALUATION & ENGINEERING, 2009, 12 (06) : 921 - 928
[6] A fast nonseparable wavelet neural network for function approximation
Zhang, J
Gao, XP
Cao, CH
Xiao, F
ADVANCES IN NATURAL COMPUTATION, PT 1, PROCEEDINGS, 2005, 3610 : 783 - 788
[7] Neural network and wavelet recognition of facial electromyographic signals
Laakso, J
Juhola, M
Surakka, V
Aula, A
Partala, T
MEDINFO 2001: PROCEEDINGS OF THE 10TH WORLD CONGRESS ON MEDICAL INFORMATICS, PTS 1 AND 2, 2001, 84 : 489 - 492
[8] Classification of EMG signals using wavelet neural network
Subasi, Abdulhamit
Yilmaz, Mustafa
Ozcalik, Hasan Riza
JOURNAL OF NEUROSCIENCE METHODS, 2006, 156 (1-2) : 360 - 367
[9] Applications of Wavelet Neural Network for Prediction of CHF
Wei, Huiming
Tian, Yuan
Zhong, Jun
Zhang, Xuan
INFORMATION TECHNOLOGY FOR MANUFACTURING SYSTEMS II, PTS 1-3, 2011, 58-60 : 1282 - 1286
[10] Polynomial, Neural Network, and Spline Wavelet Models for Continuous Wavelet Transform of Signals
Stepanov, Andrey
SENSORS, 2021, 21 (19)

← 1 2 3 4 5 →