An introduction to neural networks (Record no. 265)

MARC details
000 -LEADER
fixed length control field 01909nam a2200325 a 4500
003 - CONTROL NUMBER IDENTIFIER
control field BD-DhDIU
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20170920143152.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 940801s1995 maua b 001 0 eng
010 ## - LIBRARY OF CONGRESS CONTROL NUMBER
LC control number 94030749
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 0262011441
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC)30971691
System control number (OCoLC)ocm30971691
System control number (NNC)1646866
040 ## - CATALOGING SOURCE
Original cataloging agency DLC
Transcribing agency DLC
Modifying agency DLC
-- OrLoB
-- BD-DhDIU
Language of cataloging ENG
050 00 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QP363.3
Item number .A534 1995
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 612.8
Edition number 22
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Anderson, James A.
9 (RLIN) 3091
245 13 - TITLE STATEMENT
Title An introduction to neural networks
Statement of responsibility, etc James A. Anderson.
250 ## - EDITION STATEMENT
Edition statement Eastern economy ed.
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc New Delhi :
Name of publisher, distributor, etc Prentice-Hall of India,
Date of publication, distribution, etc c1995. [reprinted 2001]
300 ## - PHYSICAL DESCRIPTION
Extent xi, 650 p. :
Other physical details ill., figs., tables ;
Dimensions 26 cm.
500 ## - GENERAL NOTE
General note "A Bradford book."
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes bibliographical references and index.
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note 1. Properties of Single Neurons -- 2. Synaptic Integration and Neuron Models -- 3. Essential Vector Operations -- 4. Lateral Inhibition and Sensory Processing -- 5. Simple Matrix Operations -- 6. The Linear Associator: Background and Foundations -- 7. The Linear Associator: Simulations -- 8. Early Network Models: The Perceptron -- 9. Gradient Descent Algorithms -- 10. Representation of Information -- 11. Applications of Simple Associators: Concept Formation and Object Motion -- 12. Energy and Neural Networks: Hopfield Networks and Boltzmann Machines -- 13. Nearest Neighbor Models -- 14. Adaptive Maps -- 15. The BSB Model: A Simple Nonlinear Autoassociative Neural Network -- 16. Associative Computation -- 17. Teaching Arithmetic to a Neural Network.
526 ## - STUDY PROGRAM INFORMATION NOTE
Program name CSE, CIS, CS, ETE
650 00 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Neural networks (Neurobiology)
9 (RLIN) 3092
900 ## - EQUIVALENCE OR CROSS-REFERENCE-PERSONAL NAME [LOCAL, CANADA]
Numeration TOC
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Book
Koha issues (borrowed), all copies 1
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Home library Current library Shelving location Date acquired Source of acquisition Cost, normal purchase price Total Checkouts Total Renewals Full call number Barcode Date last seen Date checked out Copy number Price effective from Koha item type
    Dewey Decimal Classification     Non-fiction Daffodil International University Library Daffodil International University Library General Stacks 15/06/2011 Purchased 0.00 2 1 612.8/ A543i 013045 03/10/2017 20/09/2017 1 15/06/2011 Book