Sunspot numbers forecasting using neural networks

Ming Li, Kishan Mehrotra, Chilukuri Mohan, Sanjay Ranka

Research output: Chapter in Book/Report/Conference proceedingConference contribution

48 Scopus citations

Abstract

A recurrent connectionist network has been designed to model sunspot data. The network architecture, sunspot data, and statistical models are described, and experimental results are provided. This preliminary experimental work shows that the network can produce competitive prediction results that compare with those of traditional autoregressive models. The method is not problem specific and could be applied to other problems in dynamical system modeling, recognition, prediction, and control fields.

Original languageEnglish (US)
Title of host publicationProc 5 IEEE Int Symp Intell Control 90
PublisherIEEE Computer Society
Pages524-529
Number of pages6
ISBN (Print)0818621087
StatePublished - Dec 1 1990
EventProceedings of the 5th IEEE International Symposium on Intelligent Control 1990 - Philadelphia, PA, USA
Duration: Sep 5 1990Sep 7 1990

Publication series

NameProc 5 IEEE Int Symp Intell Control 90

Other

OtherProceedings of the 5th IEEE International Symposium on Intelligent Control 1990
CityPhiladelphia, PA, USA
Period9/5/909/7/90

ASJC Scopus subject areas

  • Engineering(all)

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  • Cite this

    Li, M., Mehrotra, K., Mohan, C., & Ranka, S. (1990). Sunspot numbers forecasting using neural networks. In Proc 5 IEEE Int Symp Intell Control 90 (pp. 524-529). (Proc 5 IEEE Int Symp Intell Control 90). IEEE Computer Society.