Κατάλογος Βιβλιοθηκών Mediterranean College

Elements of artificial neural networks / (Record no. 9868)

MARC details
000 -LEADER
fixed length control field 02214nam a22002657a 4500
005 - ΗΜΕΡΟΜΗΝΙΑ ΚΑΙ ΩΡΑ ΤΕΛΕΥΤΑΙΑΣ ΕΝΗΜΕΡΩΣΗΣ
Πεδίο ελέγχου 20250805090512.0
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS
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008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
Πεδίο ελέγχου σταθερού μήκους 250805b |||||||| |||| 00| 0 eng d
020 ## - ISBN
ISBN 0262133288
040 ## - ΠΗΓΗ ΚΑΤΑΛΟΓΟΓΡΑΦΗΣΗΣ
Φορέας πρωτότυπης καταλογογράφησης MC Athens Campus Library
Modifying agency MC Athens Campus Library
Γλώσσα καταλογογράφησης Αγγλικά
Κανόνες περιγραφικής καταλογογράφησης AACR2
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Mehrotra, Kishan
9 (RLIN) 9944
245 10 - ΤΙΤΛΟΣ ΚΑΙ ΔΗΛΩΣΗ ΥΠΕΥΘΥΝΟΤΗΤΑΣ
Τίτλος Elements of artificial neural networks /
Statement of responsibility, etc. Kishan Mehrotra, Chilukuri K. Mohan, Sanjay Ranka.
246 30 - VARYING FORM OF TITLE
Title proper/short title Artificial neural networks
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Cambridge, Mass. :
Name of publisher, distributor, etc. MIT Press,
Date of publication, distribution, etc. c1997.
300 ## - PHYSICAL DESCRIPTION
Extent xiv, 344 p. :
Other physical details ill. ;
Διαστάσεις 24 cm.
440 #0 - SERIES STATEMENT/ADDED ENTRY--TITLE
Τίτλος Complex adaptive systems
504 ## - ΣΗΜΕΙΩΣΗ ΒΙΒΛΙΟΓΡΑΦΙΑΣ κλπ.
Σημείωση βιβλιογραφίας, κλπ. Includes bibliographical references (p. [331]-338) and index.
520 ## - SUMMARY, ETC.
Summary, etc. Elements of Artificial Neural Networks provides a clearly organized general introduction, focusing on a broad range of algorithms, for students and others who want to use neural networks rather than simply study them.<br/><br/>The authors, who have been developing and team teaching the material in a one-semester course over the past six years, describe most of the basic neural network models (with several detailed solved examples) and discuss the rationale and advantages of the models, as well as their limitations. The approach is practical and open-minded and requires very little mathematical or technical background. Written from a computer science and statistics point of view, the text stresses links to contiguous fields and can easily serve as a first course for students in economics and management. The opening chapter sets the stage, presenting the basic concepts in a clear and objective way and tackling important -- yet rarely addressed -- questions related to the use of neural networks in practical situations. Subsequent chapters on supervised learning (single layer and multilayer networks), unsupervised learning, and associative models are structured around classes of problems to which networks can be applied. Applications are discussed along with the algorithms. A separate chapter takes up optimization methods.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Neural networks (Computer science)
9 (RLIN) 9947
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computing
9 (RLIN) 9851
700 ## - ΠΡΟΣΘΕΤΗ ΑΝΑΓΡΑΦΗ--ΦΥΣΙΚΟ ΠΡΟΣΩΠΟ
Personal name Mohan, Chilukuri K.
9 (RLIN) 9945
700 ## - ΠΡΟΣΘΕΤΗ ΑΝΑΓΡΑΦΗ--ΦΥΣΙΚΟ ΠΡΟΣΩΠΟ
Personal name Ranka, Sanjay
9 (RLIN) 9946
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Books
Holdings
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Books MC Athens Campus Library MC Athens Campus Library 9780000098399 8033 05/08/2025 006.3 MEH 1           05/08/2025 05/08/2025

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