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Knowledge-Based Intelligent System Advancements

Book Description

The integration of artificial intelligence and knowledge based methods and technologies as well as computer based information systems has created the next generation of information systems – intelligent information systems. This connection enables these new information systems to demonstrate novel capabilities, in particular: supporting users in decision making, processing data, discovering and processing knowledge, and reasoning under uncertainty. Knowledge-Based Intelligent System Advancements: Systemic and Cybernetic Approaches presents selected new AI–based ideas and methods for analysis and decision making in intelligent information systems derived using systemic and cybernetic approaches. This book is useful for researchers, practitioners and students interested intelligent information retrieval and processing, machine learning and adaptation, knowledge discovery, applications of fuzzy based methods and neural networks.

Table of Contents

  1. Cover
  2. Title Page
  3. Copyright Page
  4. Editorial Advisory Board and List of Reviewers
    1. EDITORIAL ADVISORY BOARD
    2. LIST OF REVIEWERS
  5. Foreword
  6. Preface
  7. Acknowledgment
  8. Section 1: Modeling
    1. Chapter 1: Stochastic Learning-based Weak Estimation and Its Applications
      1. Abstract
      2. INTRODUCTION
      3. BACKGROUND
      4. APPLICATION DOMAIN I: PATTERN RECOGNITION
      5. APPLICATION DOMAIN I: DATA COMPRESSION
      6. FUTURE RESEARCH DIRECTIONS
      7. CONCLUSIONS
      8. REFERENCES
      9. KEY TERMS AND DEFINITIONS
    2. Chapter 2: On Analogue TMR System
      1. Abstract
      2. INTRODUCTION
      3. Background
      4. TMR SYSTEM WITH ANALOGUE CHANNELS
      5. RELIABILITY MODELLING OF THE TMR SYSTEM
      6. RELIABILITY MODELLING OF THE FDV
      7. EXAMPLE
      8. FUTURE RESEARCH DIRECTIONS
      9. CONCLUSION
      10. ACKNOWLEDGEMENT
      11. REFERENCES
      12. ADDITIONAL READING
      13. Key Terms and Definitions
    3. Chapter 3: Application of Two-Stage Adaptive Decision Making System Based on Takagi-Sugeno Model for Scenario Selection in Rehabilitation Process
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. COMPLEX SYSTEMS IDENTIFICATION PROBLEMS
      5. TWO-STAGE IDENTIFICATION OF DYNAMIC PLANT
      6. APPLICATION OF TWO-STAGE IDENTIFICATION. BIOMEDICAL PROBLEM
      7. SCENARIO SELECTION: PATTERN RECOGNITION APPROACH
      8. SIMULATION RESULTS
      9. FUTURE RESEARCH DIRECTIONS
      10. CONCLUSIONS
      11. REFERENCES
      12. ADDITIONAL READING
      13. Key Terms and Definitions
    4. Chapter 4: Probabilistic Temporal Network for Numeric and Symbolic Time Information
      1. ABSTRACT
      2. INTRODUCTION
      3. Background
      4. PROBABILISTIC SYMBOLIC TEMPORAL NETWORK
      5. FINDING THE MOST ROBUST SOLUTION
      6. PROBABILISTIC NUMERIC TEMPORAL NETWORK
      7. EXPERIMENTATION
      8. CONCLUSION
      9. FUTURE RESEARCH DIRECTIONS
      10. REFERENCES
      11. Key Terms and Definitions
    5. Chapter 5: Object Recognition via Contour Points Reconstruction Using Hurwitz - Radon Matrices
      1. Abstract
      2. INTRODUCTION
      3. BACKGROUND
      4. THE METHOD OF HURWITZ - RADON MATRICES
      5. The Method of Hurwitz - Radon Matrices
      6. Algorithm and Complexity of MHR Calculations
      7. The Length Estimation
      8. FUTURE RESEARCH DIRECTIONS
      9. Conclusion
      10. REFERENCES
      11. ADDITIONAL READING SECTION
      12. Key Terms And Definitions
    6. Chapter 6: Fuzzy Logic Based Modeling in the Complex System Fault Diagnosis
      1. Abstract
      2. INTRODUCTION
      3. Background
      4. Observer Based Diagnosis Involving the Fuzzy Non-Linear Modeling
      5. FUTURE RESEARCH DIRECTIONS
      6. Conclusion
      7. REFERENCES
      8. ADDITIONAL READING SECTION
      9. Key Terms and Definitions
  9. Section 2: Analysis
    1. Chapter 7: Towards Knowledge Driven Individual Integrated Indicators of Innovativeness
      1. ABSTRACT
      2. Introduction
      3. Background
      4. INTELLIGENT DATA ANALYSIS VIA verbalization through LINGUISTIC SUMMARIES
      5. COMPUTATIONAL EXPERIMENTS
      6. FUTURE RESEARCH DIRECTIONS
      7. CONCLUSION
      8. References
    2. Chapter 8: Knowledge Exchange in Collaborative Networks of Enterprises
      1. Abstract
      2. INTRODUCTION
      3. BACKGROUND
      4. CONDITIONING OF PRODUCTION COOPERATION
      5. COOPERATION AIDING SYSTEM
      6. FUTURE RESEARCH DIRECTIONS
      7. Conclusion
      8. REFERENCES
      9. ADDITIONAL READING
      10. Key Terms And Definitions
    3. Chapter 9: A New Meta-Heuristic Multi-Objective Approach For Optimal Dispatch of Dispersed and Renewable Generating Units in Power Distribution Systems
      1. Abstract
      2. INTRODUCTION
      3. BACKGROUND
      4. POPULATION-BASED ALGORITHMS For MULTI-OBJECTIVE OPTIMIZATION
      5. NON-DOMINATED SORTING GENETIC ALGORITHM II
      6. MULTI-OBJECTIVE ANT COLONY OPTIMIZATION FOR CONTINUOUS DOMAINS
      7. Mathematical Test Functions Minimization
      8. POWER DISPATCH IN MICROGRIDS
      9. Power Dispatch Problem Definition
      10. Optimal Power Dispatch
      11. FUTURE RESEARCH DIRECTIONS
      12. Conclusion
      13. REFERENCES
    4. Chapter 10: Output Stream of Binding Neuron with Feedback
      1. Abstract
      2. INTRODUCTION
      3. BACKGROUND
      4. THE BINDING NEURON MODEL
      5. Output Stream of Binding Neuron Without Feedback
      6. BINDING NEURON WITH INSTANTANEOUS FEEDBACK (BNF)
      7. BINDING NEURON WITH DELAYED FEEDBACK
      8. NUMERICAL SIMULATIONS
      9. Conclusions and Discussion
      10. FUTURE RESEARCH DIRECTIONS
      11. Acknowledgments
      12. REFERENCES
      13. ADDITIONAL READING
      14. Key Terms And Definitions
      15. ENDNOTES
    5. Chapter 11: Expert Guided Autonomous Mobile Robot Learning
      1. Abstract
      2. INTRODUCTION
      3. Background
      4. Experimental setup
      5. EXPERT GUIDED AMR ON-LINE LEARNING
      6. Quality evaluation of the control of the AMR
      7. Experiment description
      8. RESULTS
      9. FUTURE RESEARCH DIRECTIONS
      10. CONCLUSION
      11. ACKNOWLEDGMENT
      12. REFERENCES
      13. ADDITIONAL READING
      14. Key Terms And Definitions
    6. Chapter 12: Validation of Clustering Techniques for Student Grouping in Intelligent E-learning Systems
      1. Abstract
      2. INTRODUCTION
      3. Background
      4. STUDENT GROUPING IN INTELLIGENT E-LEARNING SYSTEMS
      5. FUTURE RESEARCH DIRECTIONS
      6. Conclusion
      7. REFERENCES
      8. ADDITIONAL READING
      9. Key Terms And Definitions
    7. Chapter 13: Knowledge Redundancy, Environmental Shocks, and Agents' Opportunism
      1. Abstract
      2. Introduction
      3. Theoretical Background
      4. Research Hypotheses
      5. The Model Structure
      6. The Methodology and the Configuration of Virtual Experiments
      7. Main Results
      8. Future Research Directions
      9. Conclusions
      10. References
      11. ENDNOTES
      12. Appendix
  10. Section 3: Decision Making
    1. Chapter 14: Perspectives of Multivariable Fuzzy Control
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. MIMO FUZZY CONTROL DESIGN: THE REASONING APPROACH
      5. Direct (Model-Free) Fuzzy Controllers
      6. MIMO FUZZY CONTROL DESIGN. THE UFA PARADIGM: INTERPOLATION
      7. NON-LINEAR FUZZY SYSTEMS FROM FIRST-PRINCIPLE MODELS
      8. CONTROL DESIGN TECHNIQUES FOR THE TS APPROACH
      9. SUMMARY AND DISCUSSION
      10. FUTURE RESEARCH DIRECTIONS
      11. CONCLUSION
      12. REFERENCES
    2. Chapter 15: Self-Tuning Control Systems
      1. Abstract
      2. INTRODUCTION
      3. Background: Technical Review of Self-Tuning Control
      4. SELF-TUNING CONTROL CONCEPT
      5. STC MODEL STRUCTURES
      6. PARAMETER ESTIMATION PROCEDURES
      7. KALMAN FILTER CONFIGURED FOR PARAMETER ESTIMATION
      8. CONTROL LAW DESIGN PROCEDURES
      9. GENERAL REMARKS ON THE MV CONTROLLER
      10. GENERALISED MINIMUM VARIANCE CONTROLLER
      11. INCREMENTAL GMV CONTROLLER
      12. POLE PLACEMENT CONTROL
      13. OUTLINE OF LONG RANGE PREDICTIVE CONTROL
      14. GENERALISED PREDICTIVE CONTROL
      15. A BILINEAR APPROACH TO STC FOR NONLINEAR INDUSTRIAL SYSTEMS
      16. BILINEAR GPC
      17. FUTURE RESEARCH DIRECTIONS
      18. CONCLUSIONS
      19. acknowledgments
      20. References
      21. KEY TERMS AND DEFINITIONS
    3. Chapter 16: Active Learning in Discrete-Time Stochastic Systems
      1. Abstract
      2. introduction
      3. Background
      4. Problem Formulation
      5. THE ALGORiTHM OF DETERMINING THE OPTIMAL CONTROL
      6. Subspace Constraints and Lagrange Multiplers
      7. Incremental Value of Information
      8. LQC Problem for Systems with Different Initial Information
      9. Conditional Entropy of Linear Systems
      10. FUTURE RESEARCH DIRECTIONS
      11. Conclusions
      12. REFERENCES
      13. ADDITIONAL READING
      14. KEY TERMS AND DEFINITIONS
    4. Chapter 17: Hybrid Intelligent Diagnosis Approach Based On Neural Pattern Recognition and Fuzzy Decision-Making
      1. Abstract
      2. INTRODUCTION
      3. Background
      4. Hybrid Intelligent Diagnosis Approach
      5. Prototype Design and Experimental Results
      6. FUTURE RESEARCH DIRECTIONS
      7. Conclusion
      8. REFERENCES
      9. ADDITIONAL READING
      10. ENDNOTES
    5. Chapter 18: Nonlinear Adaptive Ship Control Synthesis In The Case Of Model Uncertainty
      1. Abstract
      2. INTRODUCTION
      3. Background
      4. THE NORRBIN’s-like SHIP MODEL structure AND ITS IDENTIFICATION
      5. COURSE-KEEPING VIA ADAPTIVE FEEDBACK LINEARIZATION
      6. COURSE-KEEPING VIA ADAPTIVE BACKSTEPPING
      7. ADAPTIVE SHIP PATH-FOLLOWING CONTROL SYNTHESIS
      8. Controller Gain Tuning via LQR Procedure
      9. SHIP MODEL AND SIMULATIONS
      10. CONCLUSION AND FUTURE RESEARCH DIRECTIONS
      11. REFERENCES
      12. KEY TERMS AND DEFINITIONS
    6. Chapter 19: A Knowledge-Based Approach for Microwire Casting Plant Control
      1. Abstract
      2. INTRODUCTION
      3. Background
      4. the control of microwire casting
      5. FUTURE RESEARCH DIRECTIONS
      6. Conclusion
      7. REFERENCES
      8. ADDITIONAL READING SECTION
      9. KEY TERMS AND DEFINITIONS
  11. Compilation of References
  12. About the Contributors