Hybrid Information Systems
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Beschreibung
Hybrid intelligent systems are becoming a very important problem-solving methodology affecting researchers and practitioners in areas ranging from science and technology to business and commerce. This volume focuses on the hybridization of different soft computing technologies and their interactions with hard computing techniques, other intelligent computing frameworks, and agents. Topics covered include: genetic-neurocomputing, neuro-fuzzy systems, genetic-fuzzy systems, genetic-fuzzy neurocomputing, hybrid optimization techniques, interaction with intelligent agents, fusion of soft computing and hard computing techniques, other intelligent systems and hybrid systems applications. The different contributions were presented at the first international workshop on hybrid intelligent systems (HIS1) in Adelaide, Australia.
Includes supplementary material: sn.pub/extras
Autor*in
Ajith Abraham
Themen in »Hybrid Information Systems«
algorithms classification database decision support system evolutionary algorithm heuristics information system knowledge management modeling multi-agent system optimization programming robot semantics verification