Knowledge in evolutionary and learning systems:
Gespeichert in:
| Beteilige Person: | |
|---|---|
| Format: | Hochschulschrift/Dissertation Buch |
| Sprache: | Englisch |
| Veröffentlicht: |
Aachen
Shaker
2002
|
| Schriftenreihe: | Berichte aus der Informatik
|
| Schlagwörter: | |
| Links: | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016845989&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| Umfang: | XVI, 174 S. graph. Darst. 21 cm |
| ISBN: | 3826597494 |
Internformat
MARC
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Datensatz im Suchindex
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| adam_text |
CONTENTS
EINLEITUNG
VII
MOTIVATION
.
VII
UBERSICHT
.
IX
ZUSAMMENFASSUNG
UND
AUSBLICK
XIII
ZUSAMMENFASSUNG
.
XIII
AUSBLICK
.
XIV
1
INTRODUCTION
1
1.1
MOTIVATIONS
.
1
1.2
OVERVIEW
.
2
2
KNOWLEDGE
REPRESENTATION
WITH
FUZZY
SETS
THEORY
7
2.1
INTRODUCTION
.
7
2.2
FUZZY
SETS
AND
FUZZY
LOGIC
.
8
2.2.1
FUZZY
SETS
AND
THEIR
OPERATIONS
.
8
2.2.2
LINGUISTIC
VARIABLES
.
9
2.2.3
FUZZY
RULES
AND
FUZZY
INFERENCE
.
10
2.3
REPRESENTATION
IN
FUZZY
LOGIC
.
12
2.4
FUZZY
PREFERENCES
AND
GROUP
DECISION-MAKING
.
14
2.4.1
ORDERING,
UTILITY
AND
PREFERENCE
RELATION
.
14
2.4.2
FUZZY
GROUP
DECISION
MAKING
.
17
2.5
SUMMARY
.
19
3
EVOLUTIONARY
AND
LEARNING
SYSTEMS
21
3.1
EVOLUTIONARY
SYSTEMS
.
21
3.1.1
FUNDAMENTALS
OF
EVOLUTIONARY
ALGORITHMS
.
21
3.1.2
SELF-ADAPTATION
IN
EVOLUTION
STRATEGIES
.
29
3.1.3
CONSTRAINTS
HANDLING
.
32
3.1.4
MULTI-OBJECTIVE
EVOLUTION
.
33
3.1.5
PARALLEL
IMPLEMENTATIONS
.
36
IV
CONTENTS
3.2
NEURAL
NETWORKS
AND
LEARNING
SYSTEMS
.
37
3.2.1
MULTI-LAYER
PERCEPTRONS
AND
RBF
NETWORKS
.
37
3.2.2
LEARNING
AND
GENERALIZATION
.
40
3.2.3
KNOWLEDGE
EXTRACTION
FROM
NEURAL
NETWORKS
.
44
3.3
INTERACTION
BETWEEN
EVOLUTION
AND
LEARNING
.
44
3.4
SUMMARY
.
45
4
KNOWLEDGE
DISCOVERY
BY
EXTRACTING
INTERPRETABLE
FUZZY
RULES
47
4.1
INTERPRETABILITY
OF
FUZZY
SYSTEMS
.
47
4.1.1
KNOWLEDGE
AND
INTERPRETABILITY
.
47
4.1.2
INTERPRETABILITY
OF
FUZZY
SYSTEMS
.
48
4.2
INTERPRETABLE
FUZZY
RULE
GENERATION
.
55
4.2.1
EVOLUTION
STRATEGY
FOR
MIXED
PARAMETER
OPTIMIZATION
.
56
4.2.2
FUZZY
SYSTEM
ENCODING
AND
FITNESS
SETUP
.
57
4.2.3
AN
EXAMPLE:
FUZZY
MODELING
OF
DRIVING
BEHAVIOR
.
59
4.3
FUZZY
RULE
EXTRACTION
FROM
RBF
NETWORKS
.
64
4.3.1
RADIAL-BASIS-FUNCTION
NETWORKS
AND
FUZZY
SYSTEMS
.
64
4.3.2
FUZZY
RULE
EXTRACTION
BY
REGULARIZATION
.
68
4.3.3
APPLICATION
EXAMPLES
.
72
4.4
SUMMARY
.
75
5
KNOWLEDGE
INCORPORATION
INTO
NEURAL NETWORKS
79
5.1
DATA
AND
A
PRION
KNOWLEDGE
.
79
5.2
KNOWLEDGE
INCORPORATION
BY
REGULARIZATION
.
82
5.2.1
KNOWLEDGE
REPRESENTATION
WITH
FUZZY
RULES
.
82
5.2.2
REGULARIZED
LEARNING
.
84
5.3
KNOWLEDGE
AS
A
RELATED
TASK
IN
LEARNING
.
87
5.3.1
LEARNING
RELATED
TASKS
.
87
5.3.2
FUZZY
KNOWLEDGE
AS
A
RELATED
TASK
.
87
5.4
SIMULATION
STUDIES
.
88
5.4.1
REGULARIZED
LEARNING
.
89
5.4.2
MULTI-TASK
LEARNING
.
89
5.5
SUMMARY
.
92
6
KNOWLEDGE
INCORPORATION
INTO
EVOLUTIONARY
SYSTEMS
93
6.1
EVOLUTION
WITH
KNOWLEDGE
.
93
6.2
KNOWLEDGE
INCORPORATION
BY
CONSISTENCY
CHECKING
.
94
6.3
KNOWLEDGE
INCORPORATION
FROM
NEURAL
NETWORKS
.
95
6.3.1
EVOLUTION
WITH
APPROXIMATE
FITNESS
FUNCTIONS
.
97
6.3.2
EVOLUTION
CONTROL
.
101
CONTENTS
V
6.3.3
A
FRAMEWORK
FOR
APPROXIMATE
MODEL
MANAGEMENT
.
106
6.3.4
SIMULATION
STUDIES
.
110
6.4
SUMMARY
.
113
7
FUZZY
PREFERENCES
IN
EVOLUTIONARY
MULTI-OBJECTIVE
OPTIMIZATION
115
7.1
MOO
AND
PREFERENCE
HANDLING
.
115
7.1.1
MULTI-OBJECTIVE
OPTIMIZATION
.
115
7.1.2
INCORPORATION
OF
FUZZY
PREFERENCES
.
116
7.2
EVOLUTIONARY
DYNAMIC
WEIGHTED
AGGREGATION
.
118
7.2.1
CONVENTIONAL
WEIGHTED
AGGREGATION
FOR
MOO
.
119
7.2.2
DYNAMIC
WEIGHTED
AGGREGATION
.
122
7.2.3
ARCHIVING
OF
PARETO
SOLUTIONS
.
125
7.2.4
SIMULATION
STUDIES
.
126
7.3
FUZZY
PREFERENCES
INCORPORATION
IN
MOO
.
132
7.3.1
CONVERTING
FUZZY
PREFERENCES
INTO
CRISP
WEIGHTS
.
132
7.3.2
CONVERTING
FUZZY
PREFERENCES
INTO
WEIGHT
INTERVALS
.
134
7.4
SUMMARY
.
135
8
SUMMARY
AND
OUTLOOK
137
8.1
SUMMARY
.
137
8.2
OUTLOOK
.
139
BIBLIOGRAPHY
141 |
| any_adam_object | 1 |
| author | Jin, Yaochu 1966- |
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| author_variant | y j yj |
| building | Verbundindex |
| bvnumber | BV023525749 |
| classification_rvk | ST 300 |
| ctrlnum | (OCoLC)915848967 (DE-599)BVBBV023525749 |
| discipline | Informatik |
| format | Thesis Book |
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| id | DE-604.BV023525749 |
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| indexdate | 2025-01-11T12:15:18Z |
| institution | BVB |
| isbn | 3826597494 |
| language | English |
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| spelling | Jin, Yaochu 1966- Verfasser (DE-588)12402713X aut Knowledge in evolutionary and learning systems Yaochu Jin Aachen Shaker 2002 XVI, 174 S. graph. Darst. 21 cm txt rdacontent n rdamedia nc rdacarrier Berichte aus der Informatik Zugl.: Bochum, Univ., Diss., 2001 Vorwissen (DE-588)4394725-6 gnd rswk-swf Neuro-Fuzzy-System (DE-588)4560677-8 gnd rswk-swf Wissensextraktion (DE-588)4546354-2 gnd rswk-swf Wissensrepräsentation (DE-588)4049534-6 gnd rswk-swf Evolutionärer Algorithmus (DE-588)4366912-8 gnd rswk-swf Maschinelles Lernen (DE-588)4193754-5 gnd rswk-swf (DE-588)4113937-9 Hochschulschrift gnd-content Wissensrepräsentation (DE-588)4049534-6 s Wissensextraktion (DE-588)4546354-2 s Vorwissen (DE-588)4394725-6 s Maschinelles Lernen (DE-588)4193754-5 s Evolutionärer Algorithmus (DE-588)4366912-8 s Neuro-Fuzzy-System (DE-588)4560677-8 s DE-604 DNB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016845989&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Jin, Yaochu 1966- Knowledge in evolutionary and learning systems Vorwissen (DE-588)4394725-6 gnd Neuro-Fuzzy-System (DE-588)4560677-8 gnd Wissensextraktion (DE-588)4546354-2 gnd Wissensrepräsentation (DE-588)4049534-6 gnd Evolutionärer Algorithmus (DE-588)4366912-8 gnd Maschinelles Lernen (DE-588)4193754-5 gnd |
| subject_GND | (DE-588)4394725-6 (DE-588)4560677-8 (DE-588)4546354-2 (DE-588)4049534-6 (DE-588)4366912-8 (DE-588)4193754-5 (DE-588)4113937-9 |
| title | Knowledge in evolutionary and learning systems |
| title_auth | Knowledge in evolutionary and learning systems |
| title_exact_search | Knowledge in evolutionary and learning systems |
| title_full | Knowledge in evolutionary and learning systems Yaochu Jin |
| title_fullStr | Knowledge in evolutionary and learning systems Yaochu Jin |
| title_full_unstemmed | Knowledge in evolutionary and learning systems Yaochu Jin |
| title_short | Knowledge in evolutionary and learning systems |
| title_sort | knowledge in evolutionary and learning systems |
| topic | Vorwissen (DE-588)4394725-6 gnd Neuro-Fuzzy-System (DE-588)4560677-8 gnd Wissensextraktion (DE-588)4546354-2 gnd Wissensrepräsentation (DE-588)4049534-6 gnd Evolutionärer Algorithmus (DE-588)4366912-8 gnd Maschinelles Lernen (DE-588)4193754-5 gnd |
| topic_facet | Vorwissen Neuro-Fuzzy-System Wissensextraktion Wissensrepräsentation Evolutionärer Algorithmus Maschinelles Lernen Hochschulschrift |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016845989&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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