Neural network learning and expert systems / (Record no. 73047)

000 -LEADER
fixed length control field 04217nam a2200553 i 4500
001 - CONTROL NUMBER
control field 6267393
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220712204651.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 151223s1993 maua ob 001 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
-- print
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 0262071452
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9780262071451
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9780262273404
-- ebook
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
-- electronic
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
-- electronic
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
-- electronic
100 1# - AUTHOR NAME
Author Gallant, Stephen I.,
245 10 - TITLE STATEMENT
Title Neural network learning and expert systems /
300 ## - PHYSICAL DESCRIPTION
Number of Pages 1 PDF (xvi, 365 pages) :
500 ## - GENERAL NOTE
Remark 1 "A Bradford Book."
505 0# - FORMATTED CONTENTS NOTE
Remark 2 1. Introduction and important definitions -- 2. Representation issues -- 3. Perceptron learning and the pocket algorithm -- 4. Winner-take-all groups or linear machines -- 5. Autoassociators and one-shot learning --
520 ## - SUMMARY, ETC.
Summary, etc Most neural network programs for personal computers simply control a set of fixed, canned network-layer algorithms with pulldown menus. This new tutorial offers hands-on neural network experiments with a different approach. A simple matrix language lets users create their own neural networks and combine networks, and this is the only currently available software permitting combined simulation of neural networks together with other dynamic systems such as robots or physiological models. The enclosed student version of DESIRE/NEUNET differs from the full system only in the size of its data area and includes a screen editor, compiler, color graphics, help screens, and ready-to-run examples. Users can also add their own help screens and interactive menus.The book provides an introduction to neural networks and simulation, a tutorial on the software, and many complete programs including several backpropagation schemes, creeping random search, competitive learning with and without adaptive-resonance function and "conscience," counterpropagation, nonlinear Grossberg-type neurons, Hopfield-type and bidirectional associative memories, predictors, function learning, biological clocks, system identification, and more.In addition, the book introduces a simple, integrated environment for programming, displays, and report preparation. Even differential equations are entered in ordinary mathematical notation. Users need not learn C or LISP to program nonlinear neuron models. To permit truly interactive experiments, the extra-fast compilation is unnoticeable, and simulations execute faster than PC FORTRAN.The nearly 90 illustrations include block diagrams, computer programs, and simulation-output graphs.Granino A. Kom has been a Professor of Electrical Engineering at the University of Arizona and has worked in the aerospace industry for a decade. He is the author of ten other engineering texts and handbooks.
650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1
General subdivision Enterprise Applications
-- Business Intelligence Tools.
650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1
General subdivision Intelligence (AI) & Semantics.
856 42 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=6267393
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Cambridge, Massachusetts :
-- MIT Press,
-- c1993.
264 #2 -
-- [Piscataqay, New Jersey] :
-- IEEE Xplore,
-- [1993]
336 ## -
-- text
-- rdacontent
337 ## -
-- electronic
-- isbdmedia
338 ## -
-- online resource
-- rdacarrier
588 ## -
-- Description based on PDF viewed 12/23/2015.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Expert systems (Computer science)
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Neural networks (Computer science)
650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1
-- COMPUTERS
650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1
-- COMPUTERS

No items available.