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1.

電子ブック

EB
Bogdan Gabrys, Robert J. Howlett, L. C. Jain, Lakhmi C. Jain, Takeo Kanade
出版情報: Springer eBooks Computer Science , Springer Berlin Heidelberg, 2006
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2.

電子ブック

EB
Bogdan Gabrys, Robert J. Howlett, L. C. Jain, Lakhmi C. Jain, Takeo Kanade
出版情報: Springer eBooks Computer Science , Springer Berlin Heidelberg, 2006
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3.

電子ブック

EB
Ignac Lovrek, Robert J. Howlett, L. C. Jain, Lakhmi C. Jain, Jörg Siekmann
出版情報: Springer eBooks Computer Science , Springer Berlin Heidelberg, 2008
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4.

電子ブック

EB
Ignac Lovrek, Robert J. Howlett, L. C. Jain, Lakhmi C. Jain, Jörg Siekmann
出版情報: Springer eBooks Computer Science , Springer Berlin Heidelberg, 2008
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5.

電子ブック

EB
Bogdan Gabrys, Robert J. Howlett, L. C. Jain, Lakhmi C. Jain, Takeo Kanade
出版情報: Springer eBooks Computer Science , Springer Berlin Heidelberg, 2006
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6.

電子ブック

EB
Ignac Lovrek, Robert J. Howlett, L. C. Jain, Lakhmi C. Jain, Jörg Siekmann
出版情報: Springer eBooks Computer Science , Springer Berlin Heidelberg, 2008
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7.

電子ブック

EB
Lakhmi Jain, Cosmin Danut Bocaniala, L. C. Jain, Vasile Palade, Xindong Wu
出版情報: Springer eBooks Computer Science , Springer London, 2006
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目次情報: 続きを見る
Contributors
Foreword
Preface
Computational intelligence methodologies in fault diagnosis: Review and state of the art / Cosmin Danut Bocaniala ; Vasile Palade1:
A fuzzy logic approach to gas path diagnostics in aero-engines / Luca Marinai ; Riti Singh2:
Fault detection and isolation of industrial processes using optimized fuzzy models / Luis Mendonca ; Joao Sousa ; Jose Sa da Costa3:
A fuzzy classification technique applied to fault diagnosis / 4:
Fuzzy-statistical reasoning in fault diagnosis / Dan Stefanoiu ; Florin Ionescu5:
Artificial neural networks in fault diagnosis: A gas turbine scenario / Stephen Ogaji6:
Two-stage neural networks based classifier system for fault diagnosis / Arunas Lipnickas7:
Soft computing models for fault diagnosis of conductive flow systems / Viorel Ariton8:
Fault diagnosis in a power generation plant using a neural fuzzy system with rule extraction / Kok Yeng Chen ; Chee Peng Lim ; Weng Kin Lai9:
Fuzzy neural networks applied to fault diagnosis / Joao Calado10:
Causal models for distributed fault diagnosis of complex systems / 11:
Index
Contributors
Foreword
Preface
8.

電子ブック

EB
Amit Konar, L. C. Jain, Lakhmi C. Jain
出版情報: Springer eBooks Computer Science , Springer London, 2005
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目次情報: 続きを見る
Foreword
Preface
Acknowledgments
The Psychological Basis of Cognitive Modeling / Chapter 1:
Introduction / 1.1:
Cognitive Models of Pattern Recognition / 1.2:
Template-Matching Theory / 1.2.1:
Prototype-Matching Theory / 1.2.2:
Feature-Based Approach for Pattern Recognition / 1.2.3:
The Computational Approach / 1.2.4:
Cognitive Models of Memory / 1.3:
Atkinson-Shiffrin's Model / 1.3.1:
Debates on Atkinson-Shiffrin's Model / 1.3.2:
Tulving's Model / 1.3.3:
The Parallel Distributed Processing Approach / 1.3.4:
Mental Imagery / 1.4:
Mental Representation of Imagery / 1.4.1:
Rotation of Mental Imagery / 1.4.2:
Imagery and Size / 1.4.3:
Imagery and Shape / 1.4.4:
Part-Whole Relationship in Mental Imagery / 1.4.5:
Ambiguity in Mental Imagery / 1.4.6:
Neurophysiological Similarity between Imagery and Perception / 1.4.7:
Cognitive Maps of Mental Imagery / 1.4.8:
Understanding a Problem / 1.5:
Steps in Understanding a Problem / 1.5.1:
A Cybernetic View of Cognition / 1.6:
The States of Cognition / 1.6.1:
Computational Modeling of Cognitive Systems / 1.7:
Petri Nets: A Brief Review / 1.8:
Extension of Petri Net Models for Distributed Modeling of Cognition / 1.9:
Scope of the Book / 1.10:
Summary / 1.11:
Exercises
References
Parallel and Distributed Logic Programming / Chapter 2:
Formal Definitions / 2.1:
Preliminary Definitions / 2.2.1:
Properties of the Substitution Set / 2.2.2:
SLD Resolution / 2.2.3:
Concurrency in Resolution / 2.3:
Types of Concurrent Resolution / 2.3.1:
Petri Net Model for Concurrent Resolution / 2.4:
Extended Petri Net / 2.4.1:
Algorithm for Concurrent Resolution / 2.4.2:
Performance Analysis of Petri Net-Based Models / 2.5:
The Speed-up / 2.5.1:
The Resource Utilization Rate / 2.5.2:
Resource Unlimited Speed-up and Utilization Rate / 2.5.3:
Conclusions / 2.6:
Distributed Reasoning by Fuzzy Petri Nets: A Review / Chapter 3:
Fuzzy Logic and Approximate Reasoning / 3.1:
Structured Models of Approximate Reasoning / 3.2:
Looney's Model / 3.3:
The Model Proposed by Chen et al / 3.4:
Konar and Mandal's Model / 3.5:
Yu's Model / 3.6:
Chen's Model for Backward Reasoning / 3.7:
Bugarin and Barro's Model / 3.8:
Pedrycz and Gomide's Learning Model / 3.9:
Construction of Reduction Rules Using FPN / 3.10:
Scope of Extension of Fuzzy Reasoning on Petri Nets / 3.11:
Belief Propagation and Belief Revision Models in Fuzzy Petri Nets / 3.12:
Imprecision Management in an Acyclic FPN / 4.1:
Formal Definitions and the Proposed Model / 4.2.1:
Proposed Model for Belief Propagation / 4.2.2:
Proposed Algorithm for Belief Propagation / 4.2.3:
Properties of FPN and Belief Propagation Scheme / 4.2.4:
Imprecision and Inconsistency Management in a Cyclic FPN / 4.3:
Proposed Model for Belief Revision / 4.3.1:
Stability Analysis of the Belief Revision Model / 4.3.2:
Detection and Elimination of Limit Cycles / 4.3.3:
Nonmonotonic Reasoning in an FPN / 4.3.4:
Building Expert Systems Using Fuzzy Petri Nets / 4.4:
The Database / 5.1:
The Data-tree / 5.2.1:
The Knowledge Base / 5.3:
The Inference Engine / 5.4:
Searching Antecedent Parts of PR in the Data-tree / 5.4.1:
Formation of the FPN / 5.4.2:
Decision Making and Explanation Tracing / 5.4.3:
A Case Study / 5.5:
Performance Evaluation / 5.6:
Time-Complexisty for the Default-Data-Tree-Formation Procedure / 5.6.1:
Time-Complexity for the Procedure Suspect-Identification / 5.6.2:
Time-Complexity for the Procedure Variable-Instantiation-of-PRs / 5.6.3:
Time-Complexity for the Procedure Create-tree / 5.6.4:
Time-Complexity for the Procedure Search-on-Data-Tree / 5.6.5:
Time-Complexity for the Procedure FPN-Formation / 5.6.6:
Time-Complexity for the Belief-Revision and Limit-Cycle-Detection Procedure / 5.6.7:
Time-Complexity Analysis for the Procedure Limit-Cycle-Elimination / 5.6.8:
Time-Complexity for the Procedure Nonmonotonic Reasoning / 5.6.9:
Time-Complexity for the Procedure Decision-Making and Explanation Tracing / 5.6.10:
Time-Complexity of the Overall Expert System / 5.6.11:
Distributed Learning Using Fuzzy Cognitive Maps / 5.7:
Axelord's Cognitive Maps / 6.1:
Kosko's Model / 6.3:
Kosko's Extended Model / 6.4:
Adaptive FCMs / 6.5:
Zhang, Chen, and Bezdek's Model / 6.6:
Pal and Konar's FCM Model / 6.7:
Unsupervised Learning by Fuzzy Petri Nets / 6.8:
The Proposed Model for Cognitive Learning / 7.1:
Encoding of Weights / 7.2.1:
The Recall Model / 7.2.2:
State-Space Formulation / 7.3:
State-Space Model for Belief Updating / 7.3.1:
State-Space Model for FTT Updating of Transitions / 7.3.2:
State-Space Model for Weights / 7.3.3:
Stability Analysis of the Cognitive Model / 7.4:
Computer Simulation / 7.5:
Implication of the Results / 7.6:
Knowledge Refinement by Hebbian Learning / 7.7:
The Encoding Model / 7.7.1:
The Recall/Reasoning Model / 7.7.2:
Case Study by Computer Simulation / 7.7.3:
Supervised Learning by a Fuzzy Petri Net / 7.7.4:
Proposed Model of Fuzzy Petri Nets / 8.1:
Algorithm for Training / 8.2.1:
Analysis of Convergence / 8.4:
Application in Fuzzy Pattern Recognition / 8.5:
Distributed Modeling of Abduction, Reciprocity, and Duality by Fuzzy Petri Nets / 8.6:
State-Space Formulation of the Proposed FPN Model / 9.1:
The Behavioral Model of FPN / 9.3.1:
State-Space Formulation of the Model / 9.3.2:
Special Cases of the Model / 9.3.3:
Stability Analysis / 9.4:
Forward Reasoning in FPNs / 9.5:
Abductive Reasoning in FPN / 9.6:
Bi-directional Reasoning in an FPN / 9.7:
Fuzzy Modus Tollens and Duality / 9.8:
Human Mood Detection and Control: A Cybernetic Approach / 9.9:
Filtering, Segmentation and Localization of Facial Components / 10.1:
Segmentation of the Mouth Region / 10.2.1:
Segmentation of the Eye Region / 10.2.2:
Segmentation of Eyebrow Constriction / 10.2.3:
Determination of Facial Attributes / 10.3:
Determination of the Mouth-Opening / 10.3.1:
Determination of the Eye-Opening / 10.3.2:
Determination of the Length of Eyebrow-Constriction / 10.3.3:
Fuzzy Relational Model for Mood Detection / 10.4:
Fuzzification of Facial Attributes / 10.4.1:
The Fuzzy Relational Model for Mood Detection / 10.4.2:
Validation of System Performance / 10.5:
A Basic Scheme of Human Mood Control / 10.6:
A Simple Model of Human Mood Transition Dynamics / 10.7:
The Model / 10.7.1:
Properties of the Model / 10.7.2:
The Proportional Model of Human Mood Control / 10.8:
Mamdani's Model for Mood Control / 10.9:
Ranking the Music, Audio, and Video Clips / 10.10:
Experimental Results / 10.11:
Distributed Planning and Multi-agent Coordination of Robots / 10.12:
Single-Agent Planning / 11.1:
Multi-Agent Planning / 11.3:
Task Sharing and Distribution in Multi-agent Planning / 11.3.1:
Cooperation with/without Communication / 11.3.2:
Homogeneous and Heterogeneous Distributed Planning / 11.3.3:
Vision-based Transportation of Blocks by Two Robots / 11.4:
Timing Analysis of the Transportation Problem / 11.5:
Analysis with Two agents / 11.6.1:
Analysis with /-agents / 11.6.2:
Index / 11.7:
Foreword
Preface
Acknowledgments
9.

電子ブック

EB
International Conference on Knowledge-Based Intelligent Engineering Systems, Robert J. Howlett, L. C. Jain, Takeo Kanade, Rajiv Khosla
出版情報: Springer eBooks Computer Science , Springer Berlin / Heidelberg, 2005
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10.

電子ブック

EB
International Conference on Knowledge-Based Intelligent Engineering Systems, Robert J. Howlett, L. C. Jain, Takeo Kanade, Rajiv Khosla
出版情報: Springer eBooks Computer Science , Springer Berlin / Heidelberg, 2005
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11.

電子ブック

EB
International Conference on Knowledge-Based Intelligent Engineering Systems, Robert J. Howlett, L. C. Jain, Takeo Kanade, Rajiv Khosla
出版情報: Springer eBooks Computer Science , Springer Berlin / Heidelberg, 2005
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12.

電子ブック

EB
International Conference on Knowledge-Based Intelligent Engineering Systems, Robert J. Howlett, L. C. Jain, Takeo Kanade, Rajiv Khosla
出版情報: Springer eBooks Computer Science , Springer Berlin / Heidelberg, 2005
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13.

電子ブック

EB
Bruno Apolloni, Robert J. Howlett, L. C. Jain, Lakhmi Jain, J. Siekmann, Jörg Siekmann, Società italiana reti neuroniche.
出版情報: Springer eBooks Computer Science , Springer Berlin Heidelberg, 2007
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14.

電子ブック

EB
Bruno Apolloni, Robert J. Howlett, L. C. Jain, Lakhmi Jain, J. Siekmann, Jörg Siekmann, Società italiana reti neuroniche.
出版情報: Springer eBooks Computer Science , Springer Berlin Heidelberg, 2007
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15.

電子ブック

EB
Bruno Apolloni, Robert J. Howlett, L. C. Jain, Lakhmi Jain, J. Siekmann, Jörg Siekmann, Società italiana reti neuroniche.
出版情報: Springer eBooks Computer Science , Springer Berlin Heidelberg, 2007
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