Document Type

Report

Date

5-1990

Keywords

Sunspots, neural network, autoregressive models

Language

English

Disciplines

Computer Sciences

Description/Abstract

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.

Additional Information

School of Computer and Information Science, Syracuse University, SU-CIS-90-05

Source

local

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