Constructive Neural Networks (Record no. 23095)

MARC details
000 -LEADER
fixed length control field 03843nam a22004935i 4500
001 - CONTROL NUMBER
control field 978-3-642-04512-7
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20170628035125.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr nn 008mamaa
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 100301s2009 gw | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783642045127
-- 978-3-642-04512-7
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-3-642-04512-7
Source of number or code doi
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number TA329-348
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number TA640-643
072 #7 - SUBJECT CATEGORY CODE
Subject category code TBJ
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code MAT003000
Source bisacsh
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 519
Edition number 23
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Franco, Leonardo.
Relator term editor.
245 10 - TITLE STATEMENT
Title Constructive Neural Networks
Medium [electronic resource] /
Statement of responsibility, etc edited by Leonardo Franco, David A. Elizondo, José M. Jerez.
264 #1 -
-- Berlin, Heidelberg :
-- Springer Berlin Heidelberg,
-- 2009.
300 ## - PHYSICAL DESCRIPTION
Extent VIII, 293 p.
Other physical details online resource.
336 ## -
-- text
-- txt
-- rdacontent
337 ## -
-- computer
-- c
-- rdamedia
338 ## -
-- online resource
-- cr
-- rdacarrier
347 ## -
-- text file
-- PDF
-- rda
490 1# - SERIES STATEMENT
Series statement Studies in Computational Intelligence,
International Standard Serial Number 1860-949X ;
Volume number/sequential designation 258
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Constructive Neural Network Algorithms for Feedforward Architectures Suitable for Classification Tasks -- Efficient Constructive Techniques for Training Switching Neural Networks -- Constructive Neural Network Algorithms That Solve Highly Non-separable Problems -- On Constructing Threshold Networks for Pattern Classification -- Self-Optimizing Neural Network 3 -- M-CLANN: Multiclass Concept Lattice-Based Artificial Neural Network -- Constructive Morphological Neural Networks: Some Theoretical Aspects and Experimental Results in Classification -- A Feedforward Constructive Neural Network Algorithm for Multiclass Tasks Based on Linear Separability -- Analysis and Testing of the m-Class RDP Neural Network -- Active Learning Using a Constructive Neural Network Algorithm -- Incorporating Expert Advice into Reinforcement Learning Using Constructive Neural Networks -- A Constructive Neural Network for Evolving a Machine Controller in Real-Time -- Avoiding Prototype Proliferation in Incremental Vector Quantization of Large Heterogeneous Datasets -- Tuning Parameters in Fuzzy Growing Hierarchical Self-Organizing Networks -- Self-Organizing Neural Grove: Efficient Multiple Classifier System with Pruned Self-Generating Neural Trees.
520 ## - SUMMARY, ETC.
Summary, etc The book is a collection of invited papers on Constructive methods for Neural networks. Most of the chapters are extended versions of works presented on the special session on constructive neural network algorithms of the 18th International Conference on Artificial Neural Networks (ICANN 2008) held September 3-6, 2008 in Prague, Czech Republic. The book is devoted to constructive neural networks and other incremental learning algorithms that constitute an alternative to standard trial and error methods for searching adequate architectures. It is made of 15 articles which provide an overview of the most recent advances on the techniques being developed for constructive neural networks and their applications. It will be of interest to researchers in industry and academics and to post-graduate students interested in the latest advances and developments in the field of artificial neural networks.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Engineering.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Artificial intelligence.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Engineering mathematics.
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Engineering.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Appl.Mathematics/Computational Methods of Engineering.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Artificial Intelligence (incl. Robotics).
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Elizondo, David A.
Relator term editor.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Jerez, José M.
Relator term editor.
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer eBooks
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9783642045110
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Studies in Computational Intelligence,
-- 1860-949X ;
Volume number/sequential designation 258
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="http://dx.doi.org/10.1007/978-3-642-04512-7">http://dx.doi.org/10.1007/978-3-642-04512-7</a>
912 ## -
-- ZDB-2-ENG
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Date acquired Source of acquisition Total Checkouts Barcode Date last seen Price effective from Koha item type
    Dewey Decimal Classification     Central Library Central Library 28/06/2017 Springer EBook   E-46274 28/06/2017 28/06/2017 E-Book

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