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020 _a9783540273356
_99783540273356
024 7 _a10.1007/b138935
_2doi
035 _avtls000346929
039 9 _a201509030434
_bVLOAD
_c201405070515
_dVLOAD
_y201402070909
_zstaff
040 _aMX-SnUAN
_bspa
_cMX-SnUAN
_erda
050 4 _aTA329-348
100 1 _aKonar, Amit.
_eautor
_9323372
245 1 0 _aComputational Intelligence :
_bPrinciples, Techniques and Applications /
_cby Amit Konar.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2005.
300 _axxiv, 708 páginas
_brecurso en línea.
336 _atexto
_btxt
_2rdacontent
337 _acomputadora
_bc
_2rdamedia
338 _arecurso en línea
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
_2rda
500 _aSpringer eBooks
505 0 _aAn Introduction to Computational Intelligence -- Fuzzy Sets and Relations -- Fuzzy Logic and Approximate Reasoning -- Fuzzy Logic in Process Control -- Fuzzy Pattern Recognition -- Fuzzy Databases and Possibilistic Reasoning -- to Machine Learning Using Neural Nets -- Supervised Neural Learning Algorithms -- Unsupervised Neural Learning Algorithms -- Competitive Learning Using Neural Nets -- Neuro-dynamic Programming by Reinforcement Learning -- Evolutionary Computing Algorithms -- Belief Calculus and Probabilistic Reasoning -- Reasoning in Expert Systems Using Fuzzy Petri Nets -- Fuzzy Models for Face Matching and Mood Detection -- Behavioral Synergism of Soft Computing Tools -- Object Recognition from Gray Images Using Fuzzy ADALINE Neurons -- Distributed Machine Learning Using Fuzzy Cognitive Maps -- Machine Learning Using Fuzzy Petri Nets -- Computational Intelligence in Tele-Communication Networks -- Computational Intelligence in Mobile Robotics -- Emerging Areas of Computational Intelligence -- Research Problems for Graduate Thesis and Pre-Ph D Preparatory Courses.
520 _aThe book Computational Intelligence: Principles, Techniques and Applications presents both theories and applications of Computational Intelligence in a clear, precise and highly comprehensive style. The textbook addresses the fundamental aspects of Fuzzy Sets and Logic, Neural Networks, Evolutionary Computing and Belief Networks. The application areas include Fuzzy Databases, Fuzzy Control, Image Understanding, Expert Systems, Object Recognition, Criminal Investigation, Telecommunication Networks and Intelligent Robots. The book contains many numerical examples and homework problems with sufficient hints so that the students can solve them on their own. Emerging areas of Computational Intelligence such as artificial life, particle swarm optimization, artificial immune systems, fuzzy chaos theory, rough sets and granular computing have also been addressed with examples in this book. The book ends with a discussion on a number of open- ended research problems in Computational Intelligence. Graduate students interested to pursue their research in this subject will greatly be benefited with these problems.
590 _aPara consulta fuera de la UANL se requiere clave de acceso remoto.
710 2 _aSpringerLink (Servicio en línea)
_9299170
776 0 8 _iEdición impresa:
_z9783540208983
856 4 0 _uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/b138935
_zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
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999 _c294496
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