Principles of artificial neural networks (Record no. 97739)

000 -LEADER
fixed length control field 02201nmm a2200349 a 4500
001 - CONTROL NUMBER
control field 00011306
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240731095201.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 190409s2019 si a ob 001 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9789811201233
-- (ebook)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
-- (hbk.)
082 04 - CLASSIFICATION NUMBER
Call Number 006.3/2
100 1# - AUTHOR NAME
Author Graupe, Daniel.
245 10 - TITLE STATEMENT
Title Principles of artificial neural networks
Sub Title basic designs to deep learning /
250 ## - EDITION STATEMENT
Edition statement 4th ed.
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication Singapore :
Publisher World Scientific Publishing Co. Pte Ltd.,
Year of publication ©2019.
300 ## - PHYSICAL DESCRIPTION
Number of Pages 1 online resource (440 p.) :
490 0# - SERIES STATEMENT
Series statement Advanced series in circuits and systems ;
520 ## - SUMMARY, ETC.
Summary, etc "The field of Artificial Neural Networks is the fastest growing field in Information Technology and specifically, in Artificial Intelligence and Machine Learning. This must-have compendium presents the theory and case studies of artificial neural networks. The volume, with 4 new chapters, updates the earlier edition by highlighting recent developments in Deep-Learning Neural Networks, which are the recent leading approaches to neural networks. Uniquely, the book also includes case studies of applications of neural networks - demonstrating how such case studies are designed, executed and how their results are obtained. The title is written for a one-semester graduate or senior-level undergraduate course on artificial neural networks. It is also intended to be a self-study and a reference text for scientists, engineers and for researchers in medicine, finance and data mining."--
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://www.worldscientific.com/worldscibooks/10.1142/11306#t=toc
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
588 ## -
-- Title from web page (viewed April 9, 2019).
520 ## - SUMMARY, ETC.
-- Publisher's website.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Neural networks (Computer science)

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