000 -LEADER |
fixed length control field |
02097pam a2200289 a 4500 |
001 - CONTROL NUMBER |
control field |
96049477 |
003 - CONTROL NUMBER IDENTIFIER |
control field |
APU |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20160309051504.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
961107s1997 nyua b 001 0 eng |
010 ## - LIBRARY OF CONGRESS CONTROL NUMBER |
LC control number |
96049477 |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
0071155546 (pbk.) |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9780071155540 (pbk.) |
040 ## - CATALOGING SOURCE |
Original cataloging agency |
DLC |
Transcribing agency |
APU |
Modifying agency |
BAHAR |
-- |
SM |
Language of cataloging |
eng |
050 00 - LIBRARY OF CONGRESS CALL NUMBER |
Classification number |
QA76.87 |
Item number |
.S3 1997 |
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER |
Edition number |
21 |
Classification number |
006.32 |
Item number |
SCH 1997 |
100 1# - MAIN ENTRY--PERSONAL NAME |
Personal name |
Schalkoff, Robert J. |
9 (RLIN) |
776 |
245 10 - TITLE STATEMENT |
Title |
Artificial neural networks / |
Statement of responsibility, etc |
Robert J. Schalkoff. |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
Place of publication, distribution, etc |
New York : |
Name of publisher, distributor, etc |
McGraw-Hill, |
Date of publication, distribution, etc |
c1997. |
300 ## - PHYSICAL DESCRIPTION |
Extent |
xxi, 422 p. : |
Other physical details |
ill. ; |
Dimensions |
24 cm. |
440 ## - SERIES STATEMENT/ADDED ENTRY--TITLE |
Title |
Computer Science Series. |
9 (RLIN) |
11790 |
490 1# - SERIES STATEMENT |
Series statement |
Artificial intelligence. |
504 ## - BIBLIOGRAPHY, ETC. NOTE |
Bibliography, etc |
Includes bibliographical references and index. |
520 ## - SUMMARY, ETC. |
Summary, etc |
Artificial Neural Networks brings together an identifiable core of ideas, techniques, and applications that characterize this emerging field. The text is intended for beginning graduate/advanced undergraduate students as well as practicing engineers and scientists. The text is suitable for use in a one- or two-semester course and may be supplemented by individual student projects and readings from the literature. Numerous exercises are presented to challenge and motivate the reader to further explore relevant concepts. Many of these exercises can be expanded into projects and thesis work. No previous experience in this field is assumed, although readers familiar with signal processing, linear algebra, pattern recognition, and other related areas will find the book easier to read. The book is meant to be largely self-contained and suitable for students in the disciplines of electrical and computer engineering, computer science, mathematics, physics, and related disciplines. While the primary objective of the text is to provide a teaching tool, practicing engineers and scientists are likely to find the clear, concept-based treatment useful in updating their backgrounds. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Neural networks (Computer science) |
9 (RLIN) |
778 |
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE |
Uniform title |
McGraw-Hill series in artificial intelligence. |
9 (RLIN) |
11791 |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Source of classification or shelving scheme |
|
Koha item type |
Book |
Koha issues (borrowed), all copies |
2 |