0000000000280364

AUTHOR

S. Mantione

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

1999

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

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