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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/3821 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/3821 http://eprints.org/relation/isCoversheetVersionOf https://pure.iiasa.ac.at/id/document/3821 archive 351 disk0/00/00/38/06 2016-01-15 02:02:58 2021-08-27 17:14:31 2016-01-15 02:02:58 monograph show 2 Aarts E.H.L. Wessels J. AL1368 Zwietering P.J. pub iis_sys iis_met prog_mda The aim of this paper is to discuss the possible role of neural nets for decision support. The discussion will be conducted along two connected lines. The first line regards the possibilities to solve combinatorial optimization problems with multi-layered perceptrons. Particular attention is paid to the required complexity of such neural nets. The second line regards the use of neural nets as a kind of black-box decision mechanism for decision problems for which the underlying processes are difficult or even not well understood. For direct use of the results of the first line it would be essential to have cheap neuro-based computing aids available. However, even without the availability of such aids, the results are useful for supporting the second line. The second line itself has its value independent of the availability of special neural computing aids. Its essence is that it provides an alternative paradigm for decision support, which can also be simulated on traditional computing equipment. 1993-01 published WP-93-005 WP-93-005 10 2510 public working_paper IIASA, Laxenburg, Austria 17 FALSE info:eu-repo/semantics/book