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Neural Networks for Pattern Recognition Advanced Texts in Econometrics Paperback Christopher M Bishop 9780198538646 Books Livres gratuit GEF

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  • This is the first comprehensive treatment of feed-forward neural networks from the perspective of statistical pattern recognition. After introducing the basic concepts, the book examines techniques for modeling probability density functions and the properties and merits of the multi-layer perceptron and radial basis function network models. Also covered are various forms of error functions, principal algorithms for error function minimalization, learning and generalization in neural networks, and Bayesian techniques and their applications. Designed as a text, with over 100 exercises, this fully up-to-date work will benefit anyone involved in the fields of neural computation and pattern recognition.
    Christopher M. Bishop,Neural Networks for Pattern Recognition (Advanced Texts in Econometrics (Paperback)),Oxford University Press, USA,0198538642,HIS014000,Europe - Germany,Germany,Neural networks (Computer science),Pattern recognition systems,Pattern recognition systems.,Artificial intelligence,COMPUTERS / Human-Computer Interaction (HCI),COMPUTERS / Neural Networks,COMPUTERS / Optical Data Processing,Computer Applications,Computer Science,Computers - General Information,Computers/Human-Computer Interaction (HCI),Computers/Neural Networks,Great Britain/British Isles,HISTORY / Europe / Germany,History,History/World,History World,Language Arts Disciplines/Linguistics - General,NEURAL COMPUTING,Neural Networks,Neural networks fuzzy systems,Non-Fiction,Optical Data Processing,PATTERN RECOGNITION,Pattern recognition systems,Pattern recognition systems.,Probability statistics,Scholarly/Graduate,Social Aspects - Human-Computer Interaction,Textbooks (Various Levels),UNIVERSITY PRESS,COMPUTERS / Human-Computer Interaction (HCI),Computers / Neural Networks,Computers / Optical Data Processing,Computers / Social Aspects / Human-Computer Interaction,Computers/Human-Computer Interaction (HCI),Computers/Neural Networks,HISTORY / Europe / Germany,Language Arts Disciplines/Linguistics - General,Neural Networks,Optical Data Processing,Social Aspects - Human-Computer Interaction,Computers - General Information,Neural Computing,Pattern Recognition,Neural networks (Computer scie,History,History World,Science/Mathematics,Artificial intelligence,Neural networks fuzzy systems,Probability statistics

    Neural Networks for Pattern Recognition Advanced Texts in Econometrics Paperback Christopher M Bishop 9780198538646 Books Reviews :



    This is the first comprehensive treatment of feed-forward neural networks from the perspective of statistical pattern recognition. After introducing the basic concepts, the book examines techniques for modeling probability density functions and the properties and merits of the multi-layer perceptron and radial basis function network models. Also covered are various forms of error functions, principal algorithms for error function minimalization, learning and generalization in neural networks, and Bayesian techniques and their applications. Designed as a text, with over 100 exercises, this fully up-to-date work will benefit anyone involved in the fields of neural computation and pattern recognition.

    Christopher M. Bishop,Neural Networks for Pattern Recognition (Advanced Texts in Econometrics (Paperback)),Oxford University Press, USA,0198538642,HIS014000,Europe - Germany,Germany,Neural networks (Computer science),Pattern recognition systems,Pattern recognition systems.,Artificial intelligence,COMPUTERS / Human-Computer Interaction (HCI),COMPUTERS / Neural Networks,COMPUTERS / Optical Data Processing,Computer Applications,Computer Science,Computers - General Information,Computers/Human-Computer Interaction (HCI),Computers/Neural Networks,Great Britain/British Isles,HISTORY / Europe / Germany,History,History/World,History World,Language Arts Disciplines/Linguistics - General,NEURAL COMPUTING,Neural Networks,Neural networks fuzzy systems,Non-Fiction,Optical Data Processing,PATTERN RECOGNITION,Pattern recognition systems,Pattern recognition systems.,Probability statistics,Scholarly/Graduate,Social Aspects - Human-Computer Interaction,Textbooks (Various Levels),UNIVERSITY PRESS,COMPUTERS / Human-Computer Interaction (HCI),Computers / Neural Networks,Computers / Optical Data Processing,Computers / Social Aspects / Human-Computer Interaction,Computers/Human-Computer Interaction (HCI),Computers/Neural Networks,HISTORY / Europe / Germany,Language Arts Disciplines/Linguistics - General,Neural Networks,Optical Data Processing,Social Aspects - Human-Computer Interaction,Computers - General Information,Neural Computing,Pattern Recognition,Neural networks (Computer scie,History,History World,Science/Mathematics,Artificial intelligence,Neural networks fuzzy systems,Probability statistics

    Neural Networks for Pattern Recognition (Advanced Texts in Econometrics (Paperback)) [Christopher M. Bishop] on . This is the first comprehensive treatment of feed-forward neural networks from the perspective of statistical pattern recognition. After introducing the basic concepts


     

    Product details

    • Series Advanced Texts in Econometrics (Paperback)
    • Paperback 502 pages
    • Publisher Oxford University Press, USA; 1 edition (January 18, 1996)
    • Language English
    • ISBN-10 9780198538646
    • ISBN-13 978-0198538646
    • ASIN 0198538642
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