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|a DLC
|b eng
|c DLC
|d UKM
|d OHX
|d BAKER
|d BTCTA
|d YDXCP
|d UBA
|d OCLCG
|d IG#
|d HEBIS
|d DEBBG
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|d BDX
|d OCLCF
|d OCLCO
|d OCLCQ
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|a pcc
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|a MNMA
|
| 050 |
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|a QA76.87.
|b A323 2001
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| 100 |
1 |
|
|a Abe, Shigeo,
|d 1947-
|
| 245 |
1 |
0 |
|a Pattern classification :
|b neuro-fuzzy methods and their comparison /
|c Shigeo Abe.
|
| 260 |
|
|
|a London ;
|a New York :
|b Springer,
|c ©2001.
|
| 300 |
|
|
|a xix, 327 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 315-321) and index.
|
| 505 |
0 |
0 |
|g pt. I.
|t Pattern Classification.
|g 1.
|t Introduction.
|g 2.
|t Multilayer Neural Network Classifiers.
|g 3.
|t Support Vector Machines.
|g 4.
|t Membership Functions.
|g 5.
|t Static Fuzzy Rule Generation.
|g 6.
|t Clustering.
|g 7.
|t Tuning of Membership Functions.
|g 8.
|t Robust Pattern Classification.
|g 9.
|t Dynamic Fuzzy Rule Generation.
|g 10.
|t Comparison of Classifier Performance.
|g 11.
|t Optimizing Features.
|g 12.
|t Generation of Training and Test Data Sets --
|g pt. II.
|t Function Approximation.
|g 13.
|t Introduction.
|g 14.
|t Fuzzy Rule Representation and Inference.
|g 15.
|t Fuzzy Rule Generation.
|g 16.
|t Robust Function Approximation.
|g App. A.
|t Conventional Classifiers.
|
| 650 |
|
0 |
|a Neural networks (Computer science)
|
| 650 |
|
0 |
|a Fuzzy systems.
|
| 650 |
|
0 |
|a Pattern recognition systems.
|
| 650 |
|
7 |
|a Fuzzy systems.
|2 fast
|0 (OCoLC)fst00936814
|
| 650 |
|
7 |
|a Neural networks (Computer science)
|2 fast
|0 (OCoLC)fst01036260
|
| 650 |
|
7 |
|a Pattern recognition systems.
|2 fast
|0 (OCoLC)fst01055266
|
| 650 |
|
7 |
|a Mustererkennung.
|2 gnd
|
| 650 |
|
7 |
|a Neuro-Fuzzy-System
|2 gnd
|
| 650 |
|
7 |
|a Computação gráfica.
|2 larpcal
|
| 650 |
|
7 |
|a Reconhecimento de padrões.
|2 larpcal
|
| 650 |
|
7 |
|a Systèmes flous.
|2 ram
|
| 650 |
|
7 |
|a Réseaux neuronaux (informatique)
|2 ram
|
| 650 |
|
7 |
|a Reconnaissance des formes (informatique)
|2 ram
|
| 650 |
|
7 |
|a Fuzzy-Logik
|2 gnd
|
| 650 |
|
7 |
|a Funktion
|g Mathematik
|2 gnd
|
| 650 |
|
7 |
|a Approximation
|2 gnd
|
| 650 |
0 |
7 |
|a Mustererkennung.
|2 swd
|
| 650 |
|
7 |
|a Automatische Klassifikation
|2 gnd
|
| 650 |
|
7 |
|a Neuronales Netz
|2 gnd
|
| 776 |
0 |
8 |
|i Online version:
|a Abe, Shigeo, 1947-
|t Pattern classification.
|d London ; New York : Springer, ©2001
|w (OCoLC)606510230
|
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