LEADER 00000cam a22008054a 4500 001 ocm56191510 003 OCoLC 005 20160527041512.1 006 m o d 007 cr cnu|||unuuu 008 040813s2001 enka ob 001 0 eng d 019 70769437|a171121621|a271785522|a475915707|a488799181 |a559254306|a646712557|a697770900|a722141009|a727995655 |a817931683|a880335688 020 051102021X|q(electronic book) 020 9780511020216|q(electronic book) 020 9781139164542|q(electronic book) 020 1139164546|q(electronic book) 020 0511148054 020 9780511148057 020 9780511049828 020 051104982X 020 |z0521773075|q(Cloth) 020 |z9780521773072 020 |z0521774799 020 |z9780521774796 035 (OCoLC)56191510|z(OCoLC)70769437|z(OCoLC)171121621 |z(OCoLC)271785522|z(OCoLC)475915707|z(OCoLC)488799181 |z(OCoLC)559254306|z(OCoLC)646712557|z(OCoLC)697770900 |z(OCoLC)722141009|z(OCoLC)727995655|z(OCoLC)817931683 |z(OCoLC)880335688 040 N$T|beng|epn|cN$T|dOCLCQ|dOCLCG|dOCLCQ|dOCLCO|dAU@|dIDEBK |dOCLCQ|dCAMBR|dOCLCF|dOCLCQ|dINU|dYDXCP|dEBLCP|dMERUC |dCCO|dE7B|dDKDLA|dMHW|dFVL|dDEBSZ|dOCLCQ 049 RIDW 050 4 QA76.87|b.E45 2001eb 072 7 COM|x005030|2bisacsh 072 7 COM|x004000|2bisacsh 082 04 006.3|222 084 31.80|2bcl 084 33.26|2bcl 084 DAT 708f|2stub 084 DAT 717f|2stub 084 PHY 057f|2stub 084 ST 285|2rvk 084 ST 300|2rvk 090 QA76.87|b.E45 2001eb 100 1 Engel, A.|q(Andreas),|d1957-|0https://id.loc.gov/ authorities/names/n00013856 245 10 Statistical mechanics of learning /|cA. Engel, C. van den Broeck. 264 1 Cambridge, UK ;|aNew York, NY :|bCambridge University Press,|c2001. 300 1 online resource (xi, 329 pages) :|billustrations 336 text|btxt|2rdacontent 337 computer|bc|2rdamedia 338 online resource|bcr|2rdacarrier 340 |gpolychrome|2rdacc 347 text file|2rdaft 504 Includes bibliographical references (pages 313-325) and index. 505 00 |tGetting started --|tPerceptron learning -- basics -- |tChoice of learning rules --|tAugmented statistical mechanics formulation --|tNoisy teachers --|tStorage problem --|tDiscontinuous learning --|tUnsupervised learning --|tOn-line learning --|tMaking contact with statistics --|tBird's eye view: multifractals -- |tMultilayer networks --|tOn-line learning in multilayer networks --|tWhat else? 520 Artificial neural networks provide a simple framework for describing learning from examples. This coherent account of important concepts and techniques of statistical mechanics and their application to learning theory comes with background material in mathematics and physics, plus many examples and exercises, making it ideal for courses, self-teaching, or reference. 588 0 Print version record. 590 eBooks on EBSCOhost|bEBSCO eBook Subscription Academic Collection - North America 650 0 Neural networks (Computer science)|0https://id.loc.gov/ authorities/subjects/sh90001937 650 0 Learning.|0https://id.loc.gov/authorities/subjects/ sh85075520 650 0 Artificial intelligence.|0https://id.loc.gov/authorities/ subjects/sh85008180 650 7 Neural networks (Computer science)|2fast|0https:// id.worldcat.org/fast/1036260 650 7 Learning.|2fast|0https://id.worldcat.org/fast/994826 650 7 Artificial intelligence.|2fast|0https://id.worldcat.org/ fast/817247 655 0 Electronic books. 655 4 Electronic books. 700 1 Broeck, C. van den|q(Christian),|d1954-|0https:// id.loc.gov/authorities/names/n00013857 776 08 |iPrint version:|aEngel, A. (Andreas), 1957-|tStatistical mechanics of learning.|dCambridge, UK ; New York, NY : Cambridge University Press, 2001|z0521773075|z0521774799 |w(DLC) 00058516|w(OCoLC)44613138 856 40 |uhttps://rider.idm.oclc.org/login?url=http:// search.ebscohost.com/login.aspx?direct=true&scope=site& db=nlebk&AN=78327|zOnline eBook. Access restricted to current Rider University students, faculty, and staff. 856 42 |3Instructions for reading/downloading this eBook|uhttp:// guides.rider.edu/ebooks/ebsco 901 MARCIVE 20231220 948 |d20160615|cEBSCO|tebscoebooksacademic|lridw 994 92|bRID