Designing compact and comprehensible fuzzy controllers using genetic algorithms: = (Entwurf kompakter und interpretierbarer Fuzzy Contoller mittels genetischer Algorithmen)
Gespeichert in:
1. Verfasser: | |
---|---|
Format: | Buch |
Sprache: | German English |
Veröffentlicht: |
Aachen
Shaker
2001
|
Schriftenreihe: | Berichte aus der Automatisierungstechnik
|
Schlagworte: | |
Online-Zugang: | Inhaltsverzeichnis |
Beschreibung: | Zugl.: Kaiserslautern, Univ., Diss., 2000 |
Beschreibung: | VIII, 123 S. Ill., graph. Darst. : 21 cm |
ISBN: | 3826586263 |
Internformat
MARC
LEADER | 00000nam a2200000 c 4500 | ||
---|---|---|---|
001 | BV013645139 | ||
003 | DE-604 | ||
005 | 20010925 | ||
007 | t | ||
008 | 010313s2001 gw ad|| m||| 00||| ger d | ||
016 | 7 | |a 960955755 |2 DE-101 | |
020 | |a 3826586263 |9 3-8265-8626-3 | ||
035 | |a (OCoLC)51388421 | ||
035 | |a (DE-599)BVBBV013645139 | ||
040 | |a DE-604 |b ger |e rakddb | ||
041 | 0 | |a ger |a eng | |
044 | |a gw |c DE | ||
049 | |a DE-703 |a DE-706 | ||
100 | 1 | |a Xiong, Ning |e Verfasser |4 aut | |
245 | 1 | 0 | |a Designing compact and comprehensible fuzzy controllers using genetic algorithms |b = (Entwurf kompakter und interpretierbarer Fuzzy Contoller mittels genetischer Algorithmen) |c Ning Xiong |
246 | 1 | 1 | |a (Entwurf kompakter und interpretierbarer Fuzzy Contoller mittels genetischer Algorithmen) |
264 | 1 | |a Aachen |b Shaker |c 2001 | |
300 | |a VIII, 123 S. |b Ill., graph. Darst. : 21 cm | ||
336 | |b txt |2 rdacontent | ||
337 | |b n |2 rdamedia | ||
338 | |b nc |2 rdacarrier | ||
490 | 0 | |a Berichte aus der Automatisierungstechnik | |
500 | |a Zugl.: Kaiserslautern, Univ., Diss., 2000 | ||
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689 | 0 | 1 | |a Reglerentwurf |0 (DE-588)4177447-4 |D s |
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Datensatz im Suchindex
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adam_text |
VII
CONTENTS
1.
INTRODUCTION
1
1.1
NEED
FOR
SOFT
COMPUTING
AND
FUZZY
CONTROL
.
1
1.2
CONTEMPORARY
PROBLEMS
TO
BE
SOLVED
.
2
1.3
THESIS
OBJECTIVES
AND
IMPORTANT
CONTRIBUTIONS
.
3
1.4
ORGANISATION
AND
CONTENTS
OF
THE
THESIS
.
5
2.
GENETIC
ALGORITHM
BASED
FUZZY
CONTROL
7
2.1
INTRODUCTORY
REMARKS
.
7
2.2
BRIEF
DESCRIPTION
OF
GENETIC
ALGORITHMS
.
8
2.2.1
FUNDAMENTAL
PRINCIPLE
AND
STRUCTURE
.
8
2.2.2
SIMILARITY
TEMPLATES
AND
THE
FUNDAMENTAL
THEOREM
.
11
2.3
ROLE
OF
GENETIC
ALGORITHMS
IN
FUZZY
CONTROLLER
DESIGN
.
13
2.3.1
A HARD
OPTIMISATION
PROBLEM
.
13
2.3.2
POWER
OF
GENETIC
ALGORITHMS
TO
SOLVE
THE
DESIGN
PROBLEM
.
14
2.4
TWO
CATEGORIES
OF
GENETIC-BASED
MACHINE
LEARNING
.
15
2.4.1
MACHINE
LEARNING IN
MICHIGAN-STYLE
.
15
2.4.2
MACHINE
LEARNING
IN
PITTSBURGH-STYLE
.
15
3.
INPUT
SELECTION
FOR
FUZZY
CONTROL
SYSTEMS
18
3.1
INTRODUCTORY
REMARKS
.
18
3.2
SURVEY
OF
THE
PREVIOUS
TECHNIQUES
.
19
3.2.1
WRAPPER
APPROACHES
.
19
3.2.2
PRIORI
FILTERING
.
20
3.3
OUTLINE
OF
THE
NEW APPROACH
.
22
3.4
HYPOTHESIS
TESTING
VIA
CASE-BASED
REASONING
.
24
3.4.1
CASE-BASED
REASONING
WITH
FUZZY
LOGIC
.
24
3.4.2
UNBIASED
ERROR
ESTIMATE
FOR
A
HYPOTHESIS
.
27
3.5
HYPOTHESIS
SEARCH
FOR
INPUT
SELECTION
.
29
3.5.1
HEURISTIC
SEARCH
MECHANISMS
.
29
3.5.2
GENETIC-BASED
SEARCH
ALGORITHM
.
30
3.6
SIMULATION
TESTS
AND
RESULTS
.
32
3.7
DISCUSSION
.
38
4.
GENETIC-BASED
PREMISE
LEARNING:
A
GENERAL
METHODOLOGY
40
4.1
INTRODUCTORY
REMARKS
.
40
4.2
GENERAL
PREMISES
VERSUS
ELEMENTARY
PREMISES
.
41
4.3
REQUIREMENTS
FOR
COMPREHENSIBILITY
IN
THE
PREMISE
LEARNING
.
44
4.3.1
SEMANTIC
CONCERNS
ON
MEMBERSHIP
FUNCTIONS
.
44
4.3.2
CONSISTENCY
OF
A
RULE
BASE
.
45
4.4
ENCODING
OF
RULE
PREMISES
.
46
4.4.1
BINARY
CODING
OF
PREMISE
STRUCTURE
.
46
4.4.2
INTEGER-CODING
OF
FUZZY
SETS
MEMBERSHIP
FUNCTIONS
.
48
4.4.3
HYBRID
CODING
OF
CONDITIONS
OF
RULES
.
49
4.5
CROSSOVER
AND
MUTATION
.
50
4.6
REPRODUCTION
.
51
4.7
FITNESS
SCALING
.
53
4.8
POPULATION
SIZE
.
55
VIN
4.9
EVALUATION
OF
TRIALS
.
56
4.9.1
CHECKING
SEMANTIC
PROPERTIES
OF
MEMBERSHIP
FUNCTIONS
.
56
4.9.2
CONSISTENCY
INDEX
OF
A
RULE
BASE
.
58
4.9.3
GENERAL
CRITERIA
TO CONSTRUCT
AN
EVALUATION
FUNCTION
.
60
4.10
DISCUSSION
.
61
5.
FUZZY
CONTROLLER
DESIGN
BY
MEANS
OF
PREMISE
LEARNING
63
5.1
MODEL-BASED
FUZZY
CONTROLLER
DESIGN
.
63
5.1.1
SYSTEMATIC
DESIGN
PROCEDURE
.
63
5.1.2
CASE
STUDY:
FUZZY
BALANCING
OF
AN
INVERTED
PENDULUM
.
66
5.2
DATA-BASED
GENERATION
OF
FUZZY
MODELS
.
70
5.2.1
GENERAL
REMARKS
ON
FUZZY
MODELLING
.
70
5.2.2
OVERALL
STRUCTURE
PROPOSED FOR
FUZZY
MODELLING
.
71
5.2.3
CONSTRUCTION
OF
MAMDANI
FUZZY
MODELS
AND
CASE
STUDY
.
73
5.2.4
CONSTRUCTION
OF
SUGENO
FUZZY
MODELS
AND
CASE
STUDY
.
77
5.3
EXTRACTING
FUZZY
KNOWLEDGE
FOR
PATTEM
CLASSIFICATION
.
81
5.3.1
INTRODUCTORY
REMARKS
.
81
5.3.2
OUTLINE
OF
THE
PROPOSED
APPROACH
.
82
5.3.3
CASE
STUDY
1:
CLASSIFICATION
OF
IRIS
DATA
.
84
5.3.4
CASE
STUDY
2:
CLASSIFICATION
OF
CANCER
DATA
.
87
5.4
INTEGRATING
FUZZY
KNOWLEDGE
FROM
MULTIPLE
SOURCES
.
88
5.4.1
GENERAL
REMARKS
.
88
5.4.2
INTEGRATION
FRAMEWORK
BY
MEANS
OF
PREMISE
LEARNING
.
89
5.5
DISCUSSION
.
90
6.
EXPERIMENTS
ON
COMPLEX
APPLICATION
DOMAINS
92
6.1
FUZZY
MODELLING
OF
ETCH
DEPTH
.
92
6.1.1
DATA
ACQUISITION
AND
FEATURE
EXTRACTION
.
92
6.1.2
INPUT
SELECTION
FOR
FUZZY
MODELS
OF
ETCH
DEPTH
.
93
6.1.3
GENERATION
OF
SUGENO
FUZZY
MODEL
FOR
ETCH
DEPTH
.
94
6.1.4
GENERATION
OF
MAMDANI
FUZZY
MODEL
FOR
ETCH
DEPTH
.
96
6.2
FUZZY
CLASSIFICATION
OF
WELDING
PROCESS
.
97
6.2.1
FEATURE
SELECTION
FOR
FRIZZY
CLASSIFICATION
.
98
6.2.2
GENERATION
OF
FUZZY
CLASSIFICATION
RULES
.
99
6.3
DISCUSSION
.
100
7.
CONCLUSIONS
AND
FUTURE
RESEARCH
101
7.1
SUMMARY
AND
CONCLUSIONS
.
101
7.2
SUGGESTIONS
FOR
FUTURE
RESEARCH
.
102
7.3
KURZFASSUNG
IN
DEUTSCHER
SPRACHE
.
104
APPENDIX
110
LIST
OF
OFTEN
USED
SYMBOLS
AND
ABBREVIATIONS
113
BIBLIOGRAPHY
116 |
any_adam_object | 1 |
author | Xiong, Ning |
author_facet | Xiong, Ning |
author_role | aut |
author_sort | Xiong, Ning |
author_variant | n x nx |
building | Verbundindex |
bvnumber | BV013645139 |
ctrlnum | (OCoLC)51388421 (DE-599)BVBBV013645139 |
format | Book |
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genre | (DE-588)4113937-9 Hochschulschrift gnd-content |
genre_facet | Hochschulschrift |
id | DE-604.BV013645139 |
illustrated | Illustrated |
indexdate | 2024-08-14T01:01:29Z |
institution | BVB |
isbn | 3826586263 |
language | German English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-009323060 |
oclc_num | 51388421 |
open_access_boolean | |
owner | DE-703 DE-706 |
owner_facet | DE-703 DE-706 |
physical | VIII, 123 S. Ill., graph. Darst. : 21 cm |
publishDate | 2001 |
publishDateSearch | 2001 |
publishDateSort | 2001 |
publisher | Shaker |
record_format | marc |
series2 | Berichte aus der Automatisierungstechnik |
spelling | Xiong, Ning Verfasser aut Designing compact and comprehensible fuzzy controllers using genetic algorithms = (Entwurf kompakter und interpretierbarer Fuzzy Contoller mittels genetischer Algorithmen) Ning Xiong (Entwurf kompakter und interpretierbarer Fuzzy Contoller mittels genetischer Algorithmen) Aachen Shaker 2001 VIII, 123 S. Ill., graph. Darst. : 21 cm txt rdacontent n rdamedia nc rdacarrier Berichte aus der Automatisierungstechnik Zugl.: Kaiserslautern, Univ., Diss., 2000 Genetischer Algorithmus (DE-588)4265092-6 gnd rswk-swf Reglerentwurf (DE-588)4177447-4 gnd rswk-swf Fuzzy-Regelung (DE-588)4395755-9 gnd rswk-swf (DE-588)4113937-9 Hochschulschrift gnd-content Fuzzy-Regelung (DE-588)4395755-9 s Reglerentwurf (DE-588)4177447-4 s Genetischer Algorithmus (DE-588)4265092-6 s DE-604 DNB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=009323060&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
spellingShingle | Xiong, Ning Designing compact and comprehensible fuzzy controllers using genetic algorithms = (Entwurf kompakter und interpretierbarer Fuzzy Contoller mittels genetischer Algorithmen) Genetischer Algorithmus (DE-588)4265092-6 gnd Reglerentwurf (DE-588)4177447-4 gnd Fuzzy-Regelung (DE-588)4395755-9 gnd |
subject_GND | (DE-588)4265092-6 (DE-588)4177447-4 (DE-588)4395755-9 (DE-588)4113937-9 |
title | Designing compact and comprehensible fuzzy controllers using genetic algorithms = (Entwurf kompakter und interpretierbarer Fuzzy Contoller mittels genetischer Algorithmen) |
title_alt | (Entwurf kompakter und interpretierbarer Fuzzy Contoller mittels genetischer Algorithmen) |
title_auth | Designing compact and comprehensible fuzzy controllers using genetic algorithms = (Entwurf kompakter und interpretierbarer Fuzzy Contoller mittels genetischer Algorithmen) |
title_exact_search | Designing compact and comprehensible fuzzy controllers using genetic algorithms = (Entwurf kompakter und interpretierbarer Fuzzy Contoller mittels genetischer Algorithmen) |
title_full | Designing compact and comprehensible fuzzy controllers using genetic algorithms = (Entwurf kompakter und interpretierbarer Fuzzy Contoller mittels genetischer Algorithmen) Ning Xiong |
title_fullStr | Designing compact and comprehensible fuzzy controllers using genetic algorithms = (Entwurf kompakter und interpretierbarer Fuzzy Contoller mittels genetischer Algorithmen) Ning Xiong |
title_full_unstemmed | Designing compact and comprehensible fuzzy controllers using genetic algorithms = (Entwurf kompakter und interpretierbarer Fuzzy Contoller mittels genetischer Algorithmen) Ning Xiong |
title_short | Designing compact and comprehensible fuzzy controllers using genetic algorithms |
title_sort | designing compact and comprehensible fuzzy controllers using genetic algorithms entwurf kompakter und interpretierbarer fuzzy contoller mittels genetischer algorithmen |
title_sub | = (Entwurf kompakter und interpretierbarer Fuzzy Contoller mittels genetischer Algorithmen) |
topic | Genetischer Algorithmus (DE-588)4265092-6 gnd Reglerentwurf (DE-588)4177447-4 gnd Fuzzy-Regelung (DE-588)4395755-9 gnd |
topic_facet | Genetischer Algorithmus Reglerentwurf Fuzzy-Regelung Hochschulschrift |
url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=009323060&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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