DocumentCode
2788754
Title
Sunspot numbers forecasting using neural networks
Author
Li, Ming ; Mehrotra, Kishan ; Mohan, Chilulcuri ; Ranka, Sanjay
Author_Institution
Sch. of Comput. & Inf. Sci., Syracuse Univ., NY, USA
fYear
1990
fDate
5-7 Sep 1990
Firstpage
524
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
Keywords
geophysics computing; neural nets; weather forecasting; autoregressive models; competitive prediction; control fields; dynamical system modeling; model sunspot data; neural networks; recurrent connectionist network; statistical models; Artificial neural networks; Biological neural networks; Computer networks; Geology; Information science; Modeling; Neural networks; Predictive models; Statistical analysis; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control, 1990. Proceedings., 5th IEEE International Symposium on
Conference_Location
Philadelphia, PA
ISSN
2158-9860
Print_ISBN
0-8186-2108-7
Type
conf
DOI
10.1109/ISIC.1990.128507
Filename
128507
Link To Document