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Neural networks : = a systematic int...

Rojas, Raúl, (1955-)

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Neural networks : = a systematic introduction /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Neural networks :/ Raúl Rojas ; foreword by Jerome Feldman
Reminder of title:	a systematic introduction /
Author:	Rojas, Raúl,
Published:	Berlin ;Springer-Verlag, : [1996],
Description:	xx, 502 pages :illustrations ;24 cm
[NT 15003449]:	1. The Biological Paradigm -- 2. Threshold Logic -- 3. Weighted Networks -- The Perceptron -- 4. Perceptron Learning -- 5. Unsupervised Learning and Clustering Algorithms -- 6. One and Two Layered Networks -- 7. The Backpropagation Algorithm -- 8. Fast Learning Algorithms -- 9. Statistics and Neural Networks -- 10. The Complexity of Learning -- 11. Fuzzy Logic -- 12. Associative Networks -- 13. The Hopfield Model -- 14. Stochastic Networks -- 15. Kohonen Networks -- 16. Modular Neural Networks -- 17. Genetic Algorithms -- 18. Hardware for Neural Networks
Subject:	Neural networks (Computer science) -
ISBN:	3540605053

Neural networks : = a systematic introduction /
Rojas, Raúl,1955-

Neural networks :a systematic introduction /Raúl Rojas ; foreword by Jerome Feldman - Berlin ;Springer-Verlag,[1996] - xx, 502 pages :illustrations ;24 cm

Includes bibliographical references (pages 477-497) and index

1. The Biological Paradigm -- 2. Threshold Logic -- 3. Weighted Networks -- The Perceptron -- 4. Perceptron Learning -- 5. Unsupervised Learning and Clustering Algorithms -- 6. One and Two Layered Networks -- 7. The Backpropagation Algorithm -- 8. Fast Learning Algorithms -- 9. Statistics and Neural Networks -- 10. The Complexity of Learning -- 11. Fuzzy Logic -- 12. Associative Networks -- 13. The Hopfield Model -- 14. Stochastic Networks -- 15. Kohonen Networks -- 16. Modular Neural Networks -- 17. Genetic Algorithms -- 18. Hardware for Neural Networks

ISBN: 3540605053Subjects--Topical Terms:

532070
Neural networks (Computer science)

LC Class. No.: QA76.87 / .R65 1996

Dewey Class. No.: 006.3

Neural networks : = a systematic introduction /
LDR:01469cam 2200265 a 4500 001 2323315
003 OCoLC
005 20160712062025.0
008 231206t19961996gw a b 001 0 eng
019 $a 609040300
020 $a 3540605053 $q (pbk.)
020 $a 9783540605058
035 $a (OCoLC)34676014 $z (OCoLC)609040300
035 $a 34676014
040 $a DLC $b eng $c DLC $d BAKER $d NLGGC $d BTCTA $d LVB $d YDXCP $d UAB $d ZWZ $d OCLCQ $d BDX $d OCLCF $d OCLCQ $d OCLCO $d UtOrBLW
050 0 0 $a QA76.87 $b .R65 1996
082 0 0 $a 006.3 $2 20
100 1 $a Rojas, Raúl, $d 1955- $3 3642438
245 1 0 $a Neural networks : $b a systematic introduction / $c Raúl Rojas ; foreword by Jerome Feldman
260 # $a Berlin ; $a New York : $b Springer-Verlag, $c [1996]
264 # 4 $c ©1996
300 $a xx, 502 pages : $b illustrations ; $c 24 cm
336 $a text $b txt $2 rdacontent
337 $a unmediated $b n $2 rdamedia
338 $a volume $b nc $2 rdacarrier
504 $a Includes bibliographical references (pages 477-497) and index
505 0 # $a 1. The Biological Paradigm -- 2. Threshold Logic -- 3. Weighted Networks -- The Perceptron -- 4. Perceptron Learning -- 5. Unsupervised Learning and Clustering Algorithms -- 6. One and Two Layered Networks -- 7. The Backpropagation Algorithm -- 8. Fast Learning Algorithms -- 9. Statistics and Neural Networks -- 10. The Complexity of Learning -- 11. Fuzzy Logic -- 12. Associative Networks -- 13. The Hopfield Model -- 14. Stochastic Networks -- 15. Kohonen Networks -- 16. Modular Neural Networks -- 17. Genetic Algorithms -- 18. Hardware for Neural Networks
650 # 0 $a Neural networks (Computer science) $3 532070
650 # 4 $a modèle Kohonen $3 3642439
650 # 4 $a apprentissage $3 3642440
650 # 4 $a logique floue $3 3642441
650 # 4 $a modèle Hopfield $3 3642442
650 # 4 $a réseau neuronal $3 3642443