6533b7d6fe1ef96bd1266460

RESEARCH PRODUCT

A new method for optimal synthesis of wavelet-based neural networks suitable for identification purposes

Francesco AlongeS. MantioneFrancesco Maria RaimondiFilippo D'ippolito

subject

Artificial neural networkSeries (mathematics)Computer sciencebusiness.industryMathematicsofComputing_NUMERICALANALYSISChaoticPattern recognitionMachine learningcomputer.software_genreLeast squaresIdentification (information)WaveletGenetic algorithmArtificial intelligencebusinessGradient descentcomputerSelection (genetic algorithm)

description

Abstract This paper deals with a new method for optimal synthesis of Wavelet-Based Neural Networks (WBNN) suitable for identification purposes. The method uses a genetic algorithm (GA) combined with a steepest descent technique and least square techniques for both optimal selection of the structure of the WBNN and its training. The method is applied for designing a predictor for a chaotic temporal series

yearjournalcountryeditionlanguage
1999-07-01IFAC Proceedings Volumes
https://doi.org/10.1016/s1474-6670(17)56876-7