Sensitivity analysis for neural networks:
Gespeichert in:
| Format: | Buch |
|---|---|
| Sprache: | English |
| Veröffentlicht: |
Berlin [u.a.]
Springer
2010
|
| Schriftenreihe: | Natural computing series
|
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | Literaturverz. S. 83 - 86 |
| Beschreibung: | VIII, 86 S. Ill., graph. Darst. |
| ISBN: | 9783642025310 |
Internformat
MARC
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| 245 | 1 | 0 | |a Sensitivity analysis for neural networks |c Daniel S. Yeung ... |
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| 300 | |a VIII, 86 S. |b Ill., graph. Darst. | ||
| 336 | |b txt |2 rdacontent | ||
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| 999 | |a oai:aleph.bib-bvb.de:BVB01-020195473 | ||
Datensatz im Suchindex
| _version_ | 1804142783509823488 |
|---|---|
| adam_text | IMAGE 1
CONTENTS
1 INTRODUCTION TO NEURAL NETWORKS 1
1.1 PROPERTIES OF NEURAL NETWORKS 3
1.2 NEURAL NETWORK LEARNING 5
1.2.1 SUPERVISED LEARNING 5
1.2.2 UNSUPERVISED LEARNING 5
1.3 PERCEPTRON 6
1.4 ADALINE AND LEAST MEAN SQUARE ALGORITHM 8
1.5 MULTILAYER PERCEPTRON AND BACKPROPAGATION ALGORITHM 9
1.5.1 OUTPUT LAYER LEARNING 11
1.5.2 HIDDEN LAYER LEARNING 11
1.6 RADIAL BASIS FUNCTION NETWORKS 12
1.7 SUPPORT VECTOR MACHINES 13
2 PRINCIPLES OF SENSITIVITY ANALYSIS 17
2.1 PERTURBATIONS IN NEURAL NETWORKS 17
2.2 NEURAL NETWORK SENSITIVITY ANALYSIS 18
2.3 FUNDAMENTAL METHODS OF SENSITIVITY ANALYSIS 21
2.3.1 GEOMETRICAL APPROACH 21
2.3.2 STATISTICAL APPROACH 23
2.4 SUMMARY 24
3 HYPER-RECTANGLE MODEL 25
3.1 HYPER-RECTANGLE MODEL FOR INPUT SPACE OF MLP 25
3.2 SENSITIVITY MEASURE OF MLP 26
3.3 DISCUSSION 27
4 SENSITIVITY ANALYSIS WITH PARAMETERIZED ACTIVATION FUNCTION . . .. 29
4.1 PARAMETERIZED ANTISYMMETRIC SQUASHING FUNCTION 29
4.2 SENSITIVITY MEASURE 30
4.3 SUMMARY 31
5 LOCALIZED GENERALIZATION ERROR MODEL 33
5.1 INTRODUCTION 33
5.2 THE LOCALIZED GENERALIZATION ERROR MODEL 35
5.2.1 THE Q-NEIGHBORHOOD AND Q-UNION 36
BIBLIOGRAFISCHE INFORMATIONEN HTTP://D-NB.INFO/997432527
DIGITALISIERT DURCH
IMAGE 2
V LN CONTENTS
5.2.2 THE LOCALIZED GENERALIZATION ERROR BOUND 36
5.2.3 STOCHASTIC SENSITIVITY MEASURE FOR RBFNN 38
5.2.4 CHARACTERISTICS OF THE ERROR BOUND 40
5.2.5 COMPARING TWO CLASSIFIERS USING THE ERROR BOUND . . .. 42 5.3
ARCHITECTURE SELECTION USING THE ERROR BOUND 42
5.3.1 PARAMETERS FOR MC 2 SG 44
5.3.2 RBFNN ARCHITECTURE SELECTION ALGORITHM FOR MC 2 SG . . 44 5.3.3 A
HEURISTIC METHOD TO REDUCE THE COMPUTATIONAL TIME FOR MC 2 SG 45
5.4 SUMMARY 45
6 CRITICAL VECTOR LEARNING FOR RBF NETWORKS 47
6.1 RELATED WORK 47
6.2 CONSTRUCTION OF RBF NETWORKS WITH SENSITIVITY ANALYSIS 48 6.2.1 RBF
CLASSIFIERS SENSITIVITY TO THE KERNEL FUNCTION CENTERS 49 6.2.2
ORTHOGONAL LEAST SQUARE TRANSFORM 51
6.2.3 CRITICAL VECTOR SELECTION 52
6.3 SUMMARY 52
7 SENSITIVITY ANALYSIS OF PRIOR KNOWLEDGE 55
7.1 KBANNS 56
7.2 INDUCTIVE BIAS 58
7.3 SENSITIVITY ANALYSIS AND MEASURES 59
7.3.1 OUTPUT-PATTERN SENSITIVITY 59
7.3.2 OUTPUT-WEIGHT SENSITIVITY 60
7.3.3 OUTPUT-* SENSITIVITY 61
7.3.4 EUCLIDEAN DISTANCE 61
7.4 PROMOTER RECOGNITION 61
7.4.1 DATA AND INITIAL DOMAIN THEORY 62
7.4.2 EXPERIMENTAL METHODOLOGY 63
7.5 DISCUSSION AND CONCLUSION 64
8 APPLICATIONS 69
8.1 INPUT DIMENSION REDUCTION 69
8.1.1 SENSITIVITY MATRIX 70
8.1.2 CRITERIA FOR PRUNING INPUTS 70
8.2 NETWORK OPTIMIZATION 71
8.3 SELECTIVE LEARNING 74
8.4 HARDWARE ROBUSTNESS 76
8.5 MEASURE OF NONLINEARITY 77
8.6 PARAMETER TUNING FOR NEOCOGNITRON 78
8.6.1 RECEPTIVE FIELD 79
8.6.2 SELECTIVITY 80
8.6.3 SENSITIVITY ANALYSIS OF THE NEOCOGNITRON 80
BIBLIOGRAPHY 83
|
| any_adam_object | 1 |
| author_GND | (DE-588)131577492 |
| building | Verbundindex |
| bvnumber | BV025599932 |
| classification_rvk | ST 301 |
| ctrlnum | (OCoLC)502403296 (DE-599)BVBBV025599932 |
| dewey-full | 006.32 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 006 - Special computer methods |
| dewey-raw | 006.32 |
| dewey-search | 006.32 |
| dewey-sort | 16.32 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| format | Book |
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| id | DE-604.BV025599932 |
| illustrated | Illustrated |
| indexdate | 2024-07-09T22:37:15Z |
| institution | BVB |
| isbn | 9783642025310 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-020195473 |
| oclc_num | 502403296 |
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| owner_facet | DE-11 DE-355 DE-BY-UBR |
| physical | VIII, 86 S. Ill., graph. Darst. |
| publishDate | 2010 |
| publishDateSearch | 2010 |
| publishDateSort | 2010 |
| publisher | Springer |
| record_format | marc |
| series2 | Natural computing series |
| spelling | Sensitivity analysis for neural networks Daniel S. Yeung ... Berlin [u.a.] Springer 2010 VIII, 86 S. Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier Natural computing series Literaturverz. S. 83 - 86 Sensitivitätsanalyse (DE-588)4129730-1 gnd rswk-swf Mehrschichten-Perzeptron (DE-588)4354626-2 gnd rswk-swf Neuronales Netz (DE-588)4226127-2 gnd rswk-swf Radiale Basisfunktion (DE-588)4380647-8 gnd rswk-swf Maschinelles Lernen (DE-588)4193754-5 gnd rswk-swf Neuronales Netz (DE-588)4226127-2 s Sensitivitätsanalyse (DE-588)4129730-1 s Maschinelles Lernen (DE-588)4193754-5 s DE-604 Mehrschichten-Perzeptron (DE-588)4354626-2 s Radiale Basisfunktion (DE-588)4380647-8 s Yeung, Daniel S. 1946- Sonstige (DE-588)131577492 oth DNB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=020195473&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Sensitivity analysis for neural networks Sensitivitätsanalyse (DE-588)4129730-1 gnd Mehrschichten-Perzeptron (DE-588)4354626-2 gnd Neuronales Netz (DE-588)4226127-2 gnd Radiale Basisfunktion (DE-588)4380647-8 gnd Maschinelles Lernen (DE-588)4193754-5 gnd |
| subject_GND | (DE-588)4129730-1 (DE-588)4354626-2 (DE-588)4226127-2 (DE-588)4380647-8 (DE-588)4193754-5 |
| title | Sensitivity analysis for neural networks |
| title_auth | Sensitivity analysis for neural networks |
| title_exact_search | Sensitivity analysis for neural networks |
| title_full | Sensitivity analysis for neural networks Daniel S. Yeung ... |
| title_fullStr | Sensitivity analysis for neural networks Daniel S. Yeung ... |
| title_full_unstemmed | Sensitivity analysis for neural networks Daniel S. Yeung ... |
| title_short | Sensitivity analysis for neural networks |
| title_sort | sensitivity analysis for neural networks |
| topic | Sensitivitätsanalyse (DE-588)4129730-1 gnd Mehrschichten-Perzeptron (DE-588)4354626-2 gnd Neuronales Netz (DE-588)4226127-2 gnd Radiale Basisfunktion (DE-588)4380647-8 gnd Maschinelles Lernen (DE-588)4193754-5 gnd |
| topic_facet | Sensitivitätsanalyse Mehrschichten-Perzeptron Neuronales Netz Radiale Basisfunktion Maschinelles Lernen |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=020195473&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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