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Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlande
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Vendeur AbeBooks depuis 27 février 2001
1996. 1st Edition. Paperback. . . . . . N° de réf. du vendeur V9783540605058
This book presents a general theory of neural nets, starting from general laws, models, and biology. With numereous examples, illustrations, and references it is suitable for readers who seek an overview of the field and as a basis for university courses.
Titre : Neural Networks: A Systematic Introduction
Éditeur : Springer
Date d'édition : 1996
Reliure : Couverture souple
Etat : New
Edition : Edition originale
Vendeur : LOROS Bookshop, Leicester, Royaume-Uni
Soft cover. Etat : Very Good. 1st Edition. Card covers in acceptable condition for a clearly used copy. Outer corners rubbed, 10cm diagonal crease across lower corner of cover. A few minor smudge marks, one left by removed price sticker. Internally, all pages appear reasonably clean and bright, no indication of markings or annotation. Seller image provided. For further helpful synopsis and reviews try clicking on 'bookseller image'. Selling books since 1999, all proceeds help fund LOROS Charity Hospice. N° de réf. du vendeur 000749
Quantité disponible : 1 disponible(s)
Vendeur : Grand Eagle Retail, Bensenville, IL, Etats-Unis
Paperback. Etat : new. Paperback. Neural networks are a computing paradigm that is finding increasing attention among computer scientists. In this book, theoretical laws and models previously scattered in the literature are brought together into a general theory of artificial neural nets. Always with a view to biology and starting with the simplest nets, it is shown how the properties of models change when more general computing elements and net topologies are introduced. Each chapter contains examples, numerous illustrations, and a bibliography. The book is aimed at readers who seek an overview of the field or who wish to deepen their knowledge. It is suitable as a basis for university courses in neurocomputing. This book presents a general theory of neural nets, starting from general laws, models, and biology. With examples, illustrations, and references it is suitable for readers who seek an overview of the field and as a basis for university courses. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9783540605058
Quantité disponible : 1 disponible(s)
Vendeur : AussieBookSeller, Truganina, VIC, Australie
Paperback. Etat : new. Paperback. Neural networks are a computing paradigm that is finding increasing attention among computer scientists. In this book, theoretical laws and models previously scattered in the literature are brought together into a general theory of artificial neural nets. Always with a view to biology and starting with the simplest nets, it is shown how the properties of models change when more general computing elements and net topologies are introduced. Each chapter contains examples, numerous illustrations, and a bibliography. The book is aimed at readers who seek an overview of the field or who wish to deepen their knowledge. It is suitable as a basis for university courses in neurocomputing. This book presents a general theory of neural nets, starting from general laws, models, and biology. With examples, illustrations, and references it is suitable for readers who seek an overview of the field and as a basis for university courses. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. N° de réf. du vendeur 9783540605058
Quantité disponible : 1 disponible(s)