TY - GEN
T1 - Sunspot numbers forecasting using neural networks
AU - Li, Ming
AU - Mehrotra, Kishan
AU - Mohan, Chilukuri
AU - Ranka, Sanjay
PY - 1990
Y1 - 1990
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=0025555180&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0025555180&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:0025555180
SN - 0818621087
T3 - Proc 5 IEEE Int Symp Intell Control 90
SP - 524
EP - 529
BT - Proc 5 IEEE Int Symp Intell Control 90
PB - IEEE Computer Society
T2 - Proceedings of the 5th IEEE International Symposium on Intelligent Control 1990
Y2 - 5 September 1990 through 7 September 1990
ER -