Cargando…

Soft computing: integrating evolutionary, neural, and fuzzy systems

Soft computing encompasses various computational methodologies, which, unlike conventional algorithms, are tolerant of imprecision, uncertainty, and partial truth. Soft computing technologies offer adaptability as a characteristic feature and thus permit the tracking of a problem through a changing...

Descripción completa

Detalles Bibliográficos
Autores principales: Tettamanzi, Andrea, Tomassini, Marco
Lenguaje:eng
Publicado: Springer 2001
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-3-662-04335-6
http://cds.cern.ch/record/2006248
_version_ 1780946277114052608
author Tettamanzi, Andrea
Tomassini, Marco
author_facet Tettamanzi, Andrea
Tomassini, Marco
author_sort Tettamanzi, Andrea
collection CERN
description Soft computing encompasses various computational methodologies, which, unlike conventional algorithms, are tolerant of imprecision, uncertainty, and partial truth. Soft computing technologies offer adaptability as a characteristic feature and thus permit the tracking of a problem through a changing environment. Besides some recent developments in areas like rough sets and probabilistic networks, fuzzy logic, evolutionary algorithms, and artificial neural networks are core ingredients of soft computing, which are all bio-inspired and can easily be combined synergetically. This book presents a well-balanced integration of fuzzy logic, evolutionary computing, and neural information processing. The three constituents are introduced to the reader systematically and brought together in differentiated combinations step by step. The text was developed from courses given by the authors and offers numerous illustrations as
id cern-2006248
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2001
publisher Springer
record_format invenio
spelling cern-20062482021-04-21T20:23:17Zdoi:10.1007/978-3-662-04335-6http://cds.cern.ch/record/2006248engTettamanzi, AndreaTomassini, MarcoSoft computing: integrating evolutionary, neural, and fuzzy systemsMathematical Physics and MathematicsSoft computing encompasses various computational methodologies, which, unlike conventional algorithms, are tolerant of imprecision, uncertainty, and partial truth. Soft computing technologies offer adaptability as a characteristic feature and thus permit the tracking of a problem through a changing environment. Besides some recent developments in areas like rough sets and probabilistic networks, fuzzy logic, evolutionary algorithms, and artificial neural networks are core ingredients of soft computing, which are all bio-inspired and can easily be combined synergetically. This book presents a well-balanced integration of fuzzy logic, evolutionary computing, and neural information processing. The three constituents are introduced to the reader systematically and brought together in differentiated combinations step by step. The text was developed from courses given by the authors and offers numerous illustrations asSpringeroai:cds.cern.ch:20062482001
spellingShingle Mathematical Physics and Mathematics
Tettamanzi, Andrea
Tomassini, Marco
Soft computing: integrating evolutionary, neural, and fuzzy systems
title Soft computing: integrating evolutionary, neural, and fuzzy systems
title_full Soft computing: integrating evolutionary, neural, and fuzzy systems
title_fullStr Soft computing: integrating evolutionary, neural, and fuzzy systems
title_full_unstemmed Soft computing: integrating evolutionary, neural, and fuzzy systems
title_short Soft computing: integrating evolutionary, neural, and fuzzy systems
title_sort soft computing: integrating evolutionary, neural, and fuzzy systems
topic Mathematical Physics and Mathematics
url https://dx.doi.org/10.1007/978-3-662-04335-6
http://cds.cern.ch/record/2006248
work_keys_str_mv AT tettamanziandrea softcomputingintegratingevolutionaryneuralandfuzzysystems
AT tomassinimarco softcomputingintegratingevolutionaryneuralandfuzzysystems