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 a R FullAcr)Functional Modelling for Integration of HumanaSoftwareaHardware 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 a D Ruan)A Fuzzy Control Algorithm for a Mobile Robot to Move Pass Obstacles (B-S Moon a J Lee)Experiments of Fuzzy Logic Control on a Nuclear Research Reactor (Z Liu a D Ruan)Intelligent Engineering and Technology for Nuclear Power Plant Operation (P P Wang a 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. keywords:When E E [NS, PS], A-rods plays the central role in the steady-state control, since its position is already adjusted to the middle position ... Figure 7: Manual control results Figure 8: FLC simulation control results Figure 1: System representation.
|Title||:||Intelligent Systems and Soft Computing for Nuclear Science and Industry|
|Author||:||D Ruan, P D'hondt, E E Kerre|