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020 _a9783319578132
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024 7 _a10.1007/978-3-319-57813-2
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100 1 _aDíaz-Cortés, Margarita-Arimatea.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 0 _aEngineering Applications of Soft Computing
_h[electronic resource] /
250 _a1st ed. 2017.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2017.
300 _aXV, 258 p. 118 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
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_2rda
490 1 _aIntelligent Systems Reference Library,
_x1868-4394 ;
_v129
505 0 _aIntroduction -- Motion estimation algorithm using Block-matching and Harmony Search optimization -- Gravitational Search Algorithm applied to parameter identification for induction motors -- Color Segmentation using LVQ Neural Net-works -- Global Optimization using Opposition-Based Electromagnetism-like algorithm -- Multi-Threshold Segmentation using Learning Automata.-Real-time gaze control using Neurofuzzy prediction system -- Clonal Selection algorithm applied to Circle detection -- States of Matter Algorithm applied to Pattern Detection -- Artificial Bee Colony algorithm applied to Multi-threshold Segmentation -- Learning Automata applied to Planning Control -- Fuzzy-based System for Corner Detection.
520 _aThis book bridges the gap between Soft Computing techniques and their applications to complex engineering problems. In each chapter we endeavor to explain the basic ideas behind the proposed applications in an accessible format for readers who may not possess a background in some of the fields. Therefore, engineers or practitioners who are not familiar with Soft Computing methods will appreciate that the techniques discussed go beyond simple theoretical tools, since they have been adapted to solve significant problems that commonly arise in such areas. At the same time, the book will show members of the Soft Computing community how engineering problems are now being solved and handled with the help of intelligent approaches. Highlighting new applications and implementations of Soft Computing approaches in various engineering contexts, the book is divided into 12 chapters. Further, it has been structured so that each chapter can be read independently of the others.
650 0 _aComputational intelligence.
650 0 _aArtificial intelligence.
650 1 4 _aComputational Intelligence.
_0https://scigraph.springernature.com/ontologies/product-market-codes/T11014
650 2 4 _aArtificial Intelligence.
_0https://scigraph.springernature.com/ontologies/product-market-codes/I21000
700 1 _aCuevas, Erik.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
700 1 _aRojas, Raúl.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319578125
776 0 8 _iPrinted edition:
_z9783319578149
776 0 8 _iPrinted edition:
_z9783319862576
830 0 _aIntelligent Systems Reference Library,
_x1868-4394 ;
_v129
856 4 0 _uhttps://doi.org/10.1007/978-3-319-57813-2
_zClick here to access eBook in Springer Nature platform. (Within Campus only.)
912 _aZDB-2-ENG
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999 _c12472
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942 _cEBOOKS