Searching for just a few words should be enough to get started. If you need to make more complex queries, use the tips below to guide you.
Issue title: Binding Environmental Sciences and Artificial Intelligence
Article type: Research Article
Authors: Fdez‐Riverola, F. | Corchado, J.M.
Affiliations: Dpto. de Informática, E.S.E.I., University of Vigo, Edificio Politécnico, Campus Universitario As Lagoas s/n., 32004, Ourense, Spain E‐mail: [email protected] | Dpto. de Informática y Automática, Facultad de Ciencias, University of Salamanca, Plaza de la Merced,s/n., 37008, Salamanca, Spain E‐mail: [email protected]
Abstract: A hybrid neuro‐symbolic problem solving model is presented in which the aim is to forecast parameters of a complex and dynamic environment in an unsupervised way. In situations in which the rules that determine a system are unknown, the prediction of the parameter values that determine the characteristic behaviour of the system can be a problematic task. The system employs a case‐based reasoning model to wrap a growing cell structures network, a radial basis function network and a set of Sugeno fuzzy models to provide an accurate prediction. Each of these techniques is used in a different stage of the reasoning cycle of the case‐based reasoning system to retrieve, adapt and review the proposed solution to the present problem. This system has been used to predict the red tides that appear in the coastal waters of the north west of the Iberian Peninsula. The results obtained from experiments are presented.
Keywords: Hybrid forecasting system, neural indexing and adaptation, fuzzy revision, extracting fuzzy rules, red tides
Journal: AI Communications, vol. 16, no. 4, pp. 221-233, 2003
IOS Press, Inc.
6751 Tepper Drive
Clifton, VA 20124
USA
Tel: +1 703 830 6300
Fax: +1 703 830 2300
[email protected]
For editorial issues, like the status of your submitted paper or proposals, write to [email protected]
IOS Press
Nieuwe Hemweg 6B
1013 BG Amsterdam
The Netherlands
Tel: +31 20 688 3355
Fax: +31 20 687 0091
[email protected]
For editorial issues, permissions, book requests, submissions and proceedings, contact the Amsterdam office [email protected]
Inspirees International (China Office)
Ciyunsi Beili 207(CapitaLand), Bld 1, 7-901
100025, Beijing
China
Free service line: 400 661 8717
Fax: +86 10 8446 7947
[email protected]
For editorial issues, like the status of your submitted paper or proposals, write to [email protected]
如果您在出版方面需要帮助或有任何建, 件至: [email protected]