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Abstract

This report presents principles associated with neural networks along with the adaptation of this technique needed to deal with real world data. An in house development carried out at the Institute for Prospective Technological Studies (ITPS) is detailed. Assessment of this approach is done on four quite different applications related to both natural and human systems. Hence, it is shown how this method performs for climate sensitivity analysis, prediction of transport user behaviour, and for assessing health disease and credit risks.

Additional information

Authors: CANARELLI P, JRC Sevilla (ES)
Bibliographic Reference: EUR 16445 EN (1996) 22pp., FS
Availability: Available from the Public Relations and Publications Unit, JRC Ispra, I-21020 Ispra (IT), Fax: +39-332-785818
Record Number: 199611440 / Last updated on: 1996-12-16
Category: PUBLICATION
Original language: en
Available languages: en
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