From synapses to rules : discovering symbolic rules from neural processed data (Record no. 189422)

MARC details
000 -LEADER
fixed length control field 01060nam a2200253Ia 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 191130s2002##################000#0#eng##
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9780306474026
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.32 APO
245 ## - TITLE STATEMENT
Title From synapses to rules : discovering symbolic rules from neural processed data
Statement of responsibility, etc edited by Bruno Apolloni and Franz J. Kurfess
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication Deventer, The Netherlands ; New York
Name of publisher Kluwer Academic/Plenum Pub
Year of publication c2002
300 ## - PHYSICAL DESCRIPTION
Number of Pages xxii, 388 p. : ill. ; 26 cm
500 ## - GENERAL NOTE
General note Includes bibliographical references and index
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Artificial intelligence - Congresses
Topical Term Machine learning - Congresses
Topical Term Neural networks (Computer science) - Congresses
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Apolloni, Bruno
Personal name Kurfess, Franz
710 ## - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element International School on Neural Nets "E.R. Caianiello" Fifth Course: From Synapses to Rules: Discovering Symbolic Rules From Neural Processed Data (2002 : Erice, Italy)
991 ## -
-- 110461
Holdings
Withdrawn status Lost status Damaged status Not for loan Home library Current library Date acquired Full call number Accession Number Price effective from Koha item type
        Anna Centenary Library Anna Centenary Library 13.10.2020 006.32 APO 317419 13.10.2020 English Books

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