Sunspots, neural network, autoregressive models
A recurrent connectionist network has been designed to model sunspot data. Preliminary experimental work shows that the network can produce competitive results as compared to 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. It is observed that statistical methods can be used to design an appropriate neural network architecture.
Li, Ming; Mehrotra, Kishan; Mohan, Chilukuri; and Ranka, Sanjay, "Forecasting Sunspot Numbers Using Neural Networks" (1990). Electrical Engineering and Computer Science Technical Reports. Paper 67.