Intelligent Systems and Soft Computing for Nuclear Science and Industry

Proceedings of the 2nd International FLINS Workshop

2nd International FLINS Workshop

, Mol, Belgium

, 25 – 27 September 1996

https://doi.org/10.1142/3169 | July 1996

Pages: 420

Edited by:
D Ruan (Belgian Nucl. Res. Ctr),
P D'hondt (Belgian Nucl. Res. Ctr), and
E E Kerre (Univ. Ghent, Belgium)

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ISBN: 978-981-4547-61-1 (ebook) USD 34.00 Add to cart

Following FLINS '94, the 1st International workshop on fuzzy logic and intelligent technologies in nuclear science, FLINS '96 aimed to introduce the principles of intelligent systems and soft computing, such as fuzzy logic, neural networks, genetic algorithms (and any combination of these three), knowledge-based expert systems and complex problem-solving techniques, in nuclear science and industry and in related fields.

This volume presents carefully selected papers drawn from more than 20 countries. It covers theoretical aspects of intelligent systems and soft computing, together with their applications in nuclear science and industry.

Contents:

Fuzzy Algorithmic and Knowledge-Based Decision Support in Nuclear Engineering (H-J Zimmermann)
Problem-Solving with Multiple Interdependent Criteria: Better Solutions to Complex Problems (C Carlsson & R Fullér)
Functional Modelling for Integration of Human–Software–Hardware in Complex Physical Systems (M Modarres)
Applying the Transferable Belief Model to Diagnostic Problems (P Smets)
Application of Fuzzy Decision Making to Countermeasure Strategies After a Nuclear Accident (X Liu & D Ruan)
A Fuzzy Control Algorithm for a Mobile Robot to Move Pass Obstacles (B-S Moon & J Lee)
Experiments of Fuzzy Logic Control on a Nuclear Research Reactor (Z Liu & D Ruan)
Intelligent Engineering and Technology for Nuclear Power Plant Operation (P P Wang & X L Gu)
Improved Method for Incipient Multiple Fault Diagnosis with Application to Nuclear Power Plant (H-Y Chung et al)
A Fuzzy Controller for NPPs (G H Schildt)
Expert Environment for the Development of Nuclear Power Plants Failure Diagnosis Systems (P N Guido et al)
Integrating Information in a Real-Time Data Visualization System on Nuclear Power Plant (E G Galdoz et al)
and other papers

Readership: Scientists and researchers in artificial intelligence, neural networks, fuzzy logic, robotics, software engineering, nuclear engineering, industrial chemistry, nuclear physics, mathematical physics, and applied mathematics.

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Intelligent Systems and Soft Computing for Nuclear Science and Industry: Proceedings of the 2nd International FLINS Workshop

Pages:1–422

https://doi.org/10.1142/9789814530972

Preview Abstract

The Table of Contents for the full book PDF is as follows:

Preface
Invited Opening Lecture
- Fuzzy Algorithmic and Knowledge-Based Decision Support in Nuclear Engineering
PART 1: SOFT COMPUTING TECHNIQUES
- On the Concept of a Linguistic Variable (Invited)
- A Note on Mamdani Controllers
- Minimization the Number of Rules in Fuzzy Relational Models
- Why Fuzzy Controllers Should Be Fuzzy
- A Parallel Approach for the Automatic Generation of Fuzzy Systems
- The Fuzzy Control of Fully-Mechanized Coal Face Production Capacity
- Self-Learning Fuzzy Logic Controllers Based on Reinforcement
- The Simplifying Role of Pure and Stable Sets in Induced Possibilities and Necessities
- Fuzzy Metric Space and Its Completeness
- Fuzzy Commutative Algebra and Its Application in Mechanical Engineering
- Application of the Concept of Local Equilibrium to Solve the Fokker-Planck Equation
- Problem-Solving with Multiple Interdependent Criteria: Better Solutions to Complex Problems (Invited)
- Recent Advances in Fuzzy Preference Modelling
- The Problem of Defining Non Deterministic Aggregation Operators (Invited)
- On Defining and Computing Fuzzy Kernels on L-Valued Simple Graphs (Invited)
- Dom FLIP++
- Now Comes the Time to Defuzzify Neuro–Fuzzy Models (Invited)
- Algebraic Neural Network
- An Extended Fuzzy Neural Network
- Dynamic Training Algorithm for Dynamic Neural Networks
- A New Method of Machine Vision Preprocessing Based on Cellular Neural Networks
- A Novel Neural Network for Multiproject Programming with Limited Resources
- Experiments on Fault Tolerance of Artificial Neural Networks Implemented by Means of a Transputer
- A Genetic Approach to Image Reconstruction in Computerized Tomography
PART 2: INTELLIGENT ENGINEERING SYSTEMS
- Functional Modelling for Integration of Human–Software–Hardware in Complex Physical Systems (Invited)
- Identification of Hidden Failures in Control Systems: A Functional Modeling Approach
- An Entropy Based Method for Computing Software Structural Complexity
- An Approach to Incremental Fuzzy Modelling of Dynamic Behavior of Functions in Complex Systems
- Handling Data Redundancy and Update Anomalies in Fuzzy Relational Databases
- System Reliability Analysis with Natural Language and Expert’s Subjectivity
- Obtaining Reliability and Safety Assessments on the Basis of Non-Probabilistic Methods
- Self-Tuning of Fuzzy Logic Controllers in Cascade Loops
- The Methods and Algorithms for Designing Complex Three-Dimensional Robots
- Construction of Classification Function in Diesel Engine Fault Diagnosis
- Kalman-Fuzzy Neural Algorithm in Short Term Load Forecasting
PART 3: NUCLEAR APPLICATIONS
- Applying the Transferable Belief Model to Diagnostic Problems (Invited)
- Clustering and Retrieving Information in Nuclear Science for Decision-Support Techniques
- Uncertainties under Emergency Conditions and Possible Application of Fuzzy Theory for Nuclear Safety (Invited)
- Application of Fuzzy Decision Making to Countermeasure Strategies After a Nuclear Accident
- Process Monitoring by Combining Several Signal-Analysis Results Using Fuzzy Logic
- Optimal Selections for Shielding Materials by Using Fuzzy Linear Programming
- A Fuzzy Control Algorithm for a Mobile Robot to Move Pass Obstacles
- Experiments of Fuzzy Logic Control on a Nuclear Research Reactor
- Self-Tuning Fuzzy Logic Nuclear Reactor Controller
- Intelligent Engineering & Technology for Nuclear Power Plant Operation (Invited)
- Improved Method for Incipient Multiple Fault Diagnosis with Application to Nuclear Power Plant
- Fuzzy Logic Utilization for the Diagnosis of Metallic Loose Part Impact in Nuclear Power Plant
- A Fuzzy Controller for NPPs
- AI-Based Alarm Processing for a Nuclear Power Plant
- Expert Environment for the Development of Nuclear Power Plants Failure Diagnosis Systems
- Integrating Information in a Real-Time Data Visualization System on Nuclear Power Plant
Author Index