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Hybrid programming environments

Treleaven, PC; Rocha, PV; (1993) Hybrid programming environments. In: (pp. pp. 351-357).

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Abstract

© Springer-Verlag Berlin Heidelberg 1993. Following the emergence of each new “Intelligent” computing technology - expert systems, fuzzy logic, neural networks and genetic algorithms - sophisticated programming environments have been developed to assist application building. Each environment being dedicated to a single intelligent technology. These environments can be classified as: application-oriented- dedicated to a specific application domain; algorithm-oriented - supporting a single algorithm; or general-purpose - comprehensive tool kits for any domain. However, hybrid applications are now being build combining a number of intelligent techniques. Thus hybrid programming environments are required that allow combination of neural networks and genetic algorithms. This paper briefly reviews programming environments for neural networks, genetic algorithms and hybrid systems, using three of UCL’s ESPRIT projects: GALATEA, PAPAGENA and HANSA as ease studies.

Type: Proceedings paper
Title: Hybrid programming environments
ISBN-13: 9783540567981
UCL classification: UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: http://discovery.ucl.ac.uk/id/eprint/1549896
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