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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
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       |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