The book should serve as a text for a university graduate course or for an advanced undergraduate course on neural networks in engineering and computer science departments. It should also serve as a self-study course for engineers and computer scientists in the industry. Covering major neural network approaches and architectures with the theories, this text presents detailed case studies for each of the approaches, accompanied with complete computer codes and the corresponding computed results. The case studies are designed to allow easy comparison of network performance to illustrate strengths and weaknesses of the different networks.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
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Hardcover. Etat : New. 2nd Edition. SHRINK-WRAPPED NEW: PRINCIPLES OF ARTIFICIAL NEURAL NTWORKS ED2 HARDCOVER 2007 Principles of Artificial Neural Networks (Advanced Circuits and Systems) 2nd ed. Edition by Daniel Graupe (Author) OUR REFERENCE: 150E1-SK4-HC-9812706240-HC-1P5-BluGrn-B-2007. N° de réf. du vendeur D-150E1-SFK4-96240-HC-1P5-BluGrn-B
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Vendeur : Revaluation Books, Exeter, Royaume-Uni
Hardcover. Etat : Brand New. 2nd edition. 303 pages. 9.75x6.75x0.75 inches. In Stock. N° de réf. du vendeur __9812706240
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