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001 292079
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008 150903s2007 xxk| o |||| 0|eng d
020 _a9781846288395
_99781846288395
024 7 _a10.1007/9781846288395
_2doi
035 _avtls000344041
039 9 _a201509030402
_bVLOAD
_c201405050301
_dVLOAD
_y201402061246
_zstaff
040 _aMX-SnUAN
_bspa
_cMX-SnUAN
_erda
050 4 _aQ334-342
100 1 _aMunakata, Toshinori.
_eeditor.
_9323629
245 1 0 _aFundamentals of the New Artificial Intelligence :
_bNeural, Evolutionary, Fuzzy and More /
_cedited by Toshinori Munakata.
250 _aSecond Edition.
264 1 _aLondon :
_bSpringer London,
_c2007.
300 _brecurso en línea.
336 _atexto
_btxt
_2rdacontent
337 _acomputadora
_bc
_2rdamedia
338 _arecurso en línea
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
_2rda
490 0 _aTexts in Computer Science
500 _aSpringer eBooks
505 0 _aNeural Networks: Fundamentals and the Backpropagation Model -- Neural Networks: Other Models -- Genetic Algorithms and Evolutionary Computing -- Fuzzy Systems -- Rough Sets -- Chaos.
520 _aArtificial intelligence—broadly defined as the study of making computers perform tasks that require human intelligence—has grown rapidly as a field of research and industrial application in recent years. Whereas traditionally, AI used techniques drawn from symbolic models such as knowledge-based and logic programming systems, interest has grown in newer paradigms, notably neural networks, genetic algorithms, and fuzzy logic. The significantly updated second edition of Fundamentals of the New Artificial Intelligence thoroughly covers the most essential and widely employed material pertaining to neural networks, genetic algorithms, fuzzy systems, rough sets, and chaos. In particular, this unique textbook explores the importance of this content for real-world applications. The exposition reveals the core principles, concepts, and technologies in a concise and accessible, easy-to-understand manner, and as a result, prerequisites are minimal: A basic understanding of computer programming and mathematics makes the book suitable for readers coming to this subject for the first time. Topics and features: Retains the well-received features of the first edition, yet clarifies and expands on the topic • Features completely new material on simulated annealing, Boltzmann machines, and extended fuzzy if-then rules tables [NEW] • Emphasizes the real-world applications derived from this important area of computer science • Provides easy-to-comprehend descriptions and algorithms • Updates all references, for maximum usefulness to professors, students, and other readers [NEW] • Integrates all material, yet allows each chapter to be used or studied independently This invaluable text and reference is an authoritative introduction to the subject and is therefore ideal for upper-level undergraduates and graduates studying intelligent computing, soft computing, neural networks, evolutionary computing, and fuzzy systems. In addition, the material is self-contained and therefore valuable to researchers in many related disciplines. Professor Munakata is a leading figure in this field and has given courses on this topic extensively.
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:
_z9781846288388
856 4 0 _uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-1-84628-839-5
_zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
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999 _c292079
_d292079