Product demand forecasts using wavelet kernel support vector machine and particle swarm optimization in manufacture system

DOI10.1016/J.CAM.2009.10.030zbMath1180.90375OpenAlexW2116450703MaRDI QIDQ847226

Qi Wu

Publication date: 12 February 2010

Published in: Journal of Computational and Applied Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cam.2009.10.030

zbMATH Keywords

particle swarm optimizationsupport vector machinedemand forecastingwavelet kernel

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Approximation methods and heuristics in mathematical programming (90C59)

Related Items (1)

A hybrid-forecasting model reducing Gaussian noise based on the Gaussian support vector regression machine and chaotic particle swarm optimization

Cites Work

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