COMPARATIVE STUDY OF WAVELET BASED NEURAL NETWORK AND NEURO-FUZZY SYSTEMS

DOI10.1142/S0219691307002099zbMath1135.62375OpenAlexW1989705318MaRDI QIDQ5386792

Mohammad Fazle Azeem, Ahmad Banakar, Vinod Kumar

Publication date: 14 May 2008

Published in: International Journal of Wavelets, Multiresolution and Information Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1142/s0219691307002099

zbMATH Keywords

learning algorithm

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) Numerical methods for wavelets (65T60) Neural nets and related approaches to inference from stochastic processes (62M45)

Related Items (3)

WAVELET NEURO-FUZZY MODEL WITH HYBRID LEARNING ALGORITHM OF GRADIENT DESCENT AND GENETIC ALGORITHM ⋮ EVALUATION OF NONSTATIONARY VEHICLE PASSING LOUDNESS BASED ON AN ANTINOISE WAVELET PRE-PROCESSING NEURAL NETWORK MODEL ⋮ WAVELET PACKET DECOMPOSITION FOR THE IDENTIFICATION OF CORROSION TYPE FROM ACOUSTIC EMISSION SIGNALS

Cites Work

• Multivariate adaptive regression splines
• Regularization Algorithms for Learning That Are Equivalent to Multilayer Networks

This page was built for publication: COMPARATIVE STUDY OF WAVELET BASED NEURAL NETWORK AND NEURO-FUZZY SYSTEMS