IMIST


Nature-inspired methods in chemometrics : (notice n° 30268)

000 -LEADER
fixed length control field 04814cam a2200637Ii 4500
001 - CONTROL NUMBER
control field ocn162579654
003 - CONTROL NUMBER IDENTIFIER
control field OCoLC
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20211202111240.0
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS--GENERAL INFORMATION
fixed length control field m o d
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr cn|
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 070806s2003 ne a ob 001 0 eng d
040 ## - CATALOGING SOURCE
Original cataloging agency OPELS
Language of cataloging eng
Transcribing agency OPELS
Modifying agency OCLCG
-- OKU
-- OCLCQ
-- OPELS
-- OCLCQ
-- TEF
-- N$T
-- YDXCP
-- MERUC
-- E7B
-- IDEBK
-- OCLCQ
-- OCLCF
Description conventions rda
019 ## -
-- 170967596
-- 441781503
-- 648244888
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Cancelled/invalid ISBN 9780444513502
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Cancelled/invalid ISBN 0444513507
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780080522623 (electronic bk.)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 0080522629 (electronic bk.)
029 1# - (OCLC)
-- NZ1
-- 12435116
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC)162579654
Canceled/invalid control number (OCoLC)170967596
-- (OCoLC)441781503
-- (OCoLC)648244888
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA76.87
Item number .N3915 2003eb
072 #7 - SUBJECT CATEGORY CODE
Subject category code COM
Subject category code subdivision 044000
Source bisacsh
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.3/2
Edition number 22
049 ## - LOCAL HOLDINGS (OCLC)
Holding library MAIA
245 00 - TITLE STATEMENT
Title Nature-inspired methods in chemometrics :
Remainder of title genetic algorithms and artificial neural networks /
Statement of responsibility, etc edited by R. Leardi.
250 ## - EDITION STATEMENT
Edition statement 1st ed.
264 #1 -
-- Amsterdam ;
-- Boston :
-- Elsevier,
-- 2003.
300 ## - PHYSICAL DESCRIPTION
Extent 1 online resource (xviii, 383 pages) :
Other physical details illustrations.
336 ## - CONTENT TYPE
Content Type Term text
Content Type Code txt
Source rdacontent
337 ## - MEDIA TYPE
Media Type Term computer
Media Type Code c
Source rdamedia
338 ## - CARRIER TYPE
Carrier Type Term online resource
Carrier Type Code cr
Source rdacarrier
347 ## -
-- data file
-- rda
380 ## -
-- Bibliography
490 1# - SERIES STATEMENT
Series statement Data handling in science and technology,
International Standard Serial Number 0922-3487 ;
Volume number/sequential designation v. 23
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes bibliographical references and index.
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Genetic algorithms and beyond / Brian T. Luke -- Hybrid genetic algorithms / D. Brynn Hibbert -- Robust soft sensor development using genetic programming / Arthur K. Kordon, Guido F. Smits, Alex N. Kalos, Elsa M. Jordaan -- Genetic algorithms in molecular modelling : a review / Alessandro Maiocchi -- MobyDigs : software for regression and classification models by genetic algorithms / Roberto Todeschini, Viviana Consonni, Andrea Mauri, Manuela Pavan -- Genetic algorithm-PLS as a tool for wavelength selection in spectral data sets / Riccardo Leardi -- Basics of artificial neural networks / Jure Zupan -- Artificial neural networks in molecular structures-property studies / Marjana Novic, Marjan Vracko -- Neural networks for the calibration of voltammetric data / Conrad Bessant, Edward Richards -- Neural networks and genetic algorithms applications in nuclear magnetic resonance spectroscopy / Reinhard Meusinger, Uwe Himmelreich -- A QSAR model for predicting the acute toxicity of pesticides to Gammarids / James Devillers -- Applying genetic algorithms and neural networks to chemometric problems / Brian T. Luke.
520 ## - SUMMARY, ETC.
Summary, etc In recent years Genetic Algorithms (GA) and Artificial Neural Networks (ANN) have progressively increased in importance amongst the techniques routinely used in chemometrics. This book contains contributions from experts in the field is divided in two sections (GA and ANN). In each part, tutorial chapters are included in which the theoretical bases of each technique are expertly (but simply) described. These are followed by application chapters in which special emphasis will be given to the advantages of the application of GA or ANN to that specific problem, compared to classical techniques, and to the risks connected with its misuse. This book is of use to all those who are using or are interested in GA and ANN. Beginners can focus their attentions on the tutorials, whilst the most advanced readers will be more interested in looking at the applications of the techniques. It is also suitable as a reference book for students. - Subject matter is steadily increasing in importance - Comparison of Genetic Algorithms (GA) and Artificial Neural Networks (ANN) with the classical techniques - Suitable for both beginners and advanced researchers.
588 ## -
-- Description based on print version record.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Neural networks (Computer science)
9 (RLIN) 4441
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Genetic algorithms.
9 (RLIN) 48850
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element COMPUTERS
General subdivision Neural Networks.
Source of heading or term bisacsh
9 (RLIN) 48851
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Quimiometria.
Source of heading or term larpcal
9 (RLIN) 48852
655 #4 - INDEX TERM--GENRE/FORM
Genre/form data or focus term Electronic books.
9 (RLIN) 20
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Genetic algorithms.
Source of heading or term fast
-- (OCoLC)fst00939996
9 (RLIN) 48850
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Neural networks (Computer science)
Source of heading or term fast
-- (OCoLC)fst01036260
9 (RLIN) 4441
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Leardi, R.
Fuller form of name (Riccardo)
9 (RLIN) 48853
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Print version:
Title Nature-inspired methods in chemometrics.
Edition 1st ed.
Place, publisher, and date of publication Amsterdam ; Boston : Elsevier, 2003
International Standard Book Number 0444513507
-- 9780444513502
Record control number (DLC) 2003049532
-- (OCoLC)53084235
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Data handling in science and technology ;
Volume number/sequential designation v. 23.
9 (RLIN) 48854
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="http://www.sciencedirect.com/science/book/9780444513502">http://www.sciencedirect.com/science/book/9780444513502</a>
938 ## -
-- YBP Library Services
-- YANK
-- 2614211
938 ## -
-- ebrary
-- EBRY
-- ebr10175608
938 ## -
-- Ingram Digital eBook Collection
-- IDEB
-- 102148
938 ## -
-- EBSCOhost
-- EBSC
-- 196516
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Ebook
956 ## - LOCAL ELECTRONIC LOCATION AND ACCESS (OCLC)
Electronic name Pré 2007
994 ## -
-- 92
-- MAIMI

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