WAVELET NEURO-FUZZY MODEL WITH HYBRID LEARNING ALGORITHM OF GRADIENT DESCENT AND GENETIC ALGORITHM

DOI10.1142/S021969131100402XzbMath1219.68130MaRDI QIDQ3007755

Mohammad Fazle Azeem, Ahmad Banakar

Publication date: 17 June 2011

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

zbMATH Keywords

genetic algorithmgradient descentwavelet networkactivation networkneuro-fuzzy model

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Fuzzy control/observation systems (93C42)

Related Items (2)

MODEL SELECTION OF C-SUPPORT VECTOR MACHINES BASED ON MULTI-THREADING GENETIC ALGORITHM ⋮ ATTRIBUTE REDUCTION OF CONCEPT LATTICE BASED ON IRREDUCIBLE ELEMENTS

Cites Work

• Structure identification of fuzzy model
• EVALUATION OF NONSTATIONARY VEHICLE PASSING LOUDNESS BASED ON AN ANTINOISE WAVELET PRE-PROCESSING NEURAL NETWORK MODEL
• BLIND IMAGE RESTORATION BY COMBINING WAVELET TRANSFORM AND RBF NEURAL NETWORK
• Thresholding Wavelet Networks for Signal Classification
• MULTISCALE NEUROFUZZY MODELS FOR FORECASTING IN TIME SERIES DATABASES
• COMPARATIVE STUDY OF WAVELET BASED NEURAL NETWORK AND NEURO-FUZZY SYSTEMS

This page was built for publication: WAVELET NEURO-FUZZY MODEL WITH HYBRID LEARNING ALGORITHM OF GRADIENT DESCENT AND GENETIC ALGORITHM