Forecasting Global Temperature Variations by Neural Networks

Forecasting Global Temperature Variations by Neural Networks

Global temperature variations between 1861 and 1984 are forecast usingsregularization networks, multilayer perceptrons and linearsautoregression. The regularization network, optimized by stochasticsgradient descent associated with colored noise, gives the bestsforecasts. For all the models, predicti...

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Bibliographic Details
Main Authors:	Miyano, Takaya, Girosi, Federico
Language:	en_US
Published:	2004
Subjects:	time series prediction chaotic systems neural nets RBF
Online Access:	http://hdl.handle.net/1721.1/7208

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