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Fuzzy Systems and Soft Computing in Nuclear Engineering

Overview of attention for book
Cover of 'Fuzzy Systems and Soft Computing in Nuclear Engineering'

Table of Contents

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    Book Overview
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    Chapter 1 Analysis of Selected Structures for Model-Based Measuring Methods Using Fuzzy Logic
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    Chapter 2 A Set of Fuzzy Systems to Automate the Manual Procedures for Reactor Power Level Changes
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    Chapter 3 A Fuzzy Controller for the Real Time Supervision of Nuclear Power Reactors
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    Chapter 4 Adaptive Fuzzy Control for a Simulation of Hydraulic Analogy of a Nuclear Reactor
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    Chapter 5 Controlling Neutron Power of a TRIGA Mark III Research Nuclear Reactor with Fuzzy Adaptation of the Set of Output Membership Functions
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    Chapter 6 NPP Operator Support in Decision Making — Diagnostics of the Operation Failures Using Fuzzy Logic
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    Chapter 7 Optimal Operation Planning of Radioactive Waste Processing System by Fuzzy Theory
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    Chapter 8 A Fuzzy Inference System for the Economic Calculus in Radioactive Waste Management
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    Chapter 9 Neuro-Fuzzy Control Applications in Pressurized Water Reactors
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    Chapter 10 Neural and Fuzzy Transient Classification Systems: General Techniques and Applications in Nuclear Power Plants
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    Chapter 11 Neural Networks in Signal Processing
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    Chapter 12 Application of Neural Networks in Reactor Diagnostics and Monitoring
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    Chapter 13 Regularization Methods for Inferential Sensing in Nuclear Power Plants
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    Chapter 14 Genetic Algorithms Applied to Nuclear Reactor Design Optimization
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    Chapter 15 Genetic Algorithms Applied to the Nuclear Power Plant Operation
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    Chapter 16 Reactor Controller Design Using Genetic Algorithms with Simulated Annealing
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    Chapter 17 Logic-Based Hierarchies for Modeling Behavior of Complex Dynamic Systems with Applications
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    Chapter 18 Continued Fractions in Time Series Forecsting
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    Chapter 19 A Possibilistic Approach to Target Classification
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    Chapter 20 From FUELCON to FUELGEN: Tools for Fuel Reload Pattern Design
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    Chapter 21 Diagnosis of Unanticipated Plant Component Faults in a Portable Expert System
Attention for Chapter 8: A Fuzzy Inference System for the Economic Calculus in Radioactive Waste Management
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Citations

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Chapter title
A Fuzzy Inference System for the Economic Calculus in Radioactive Waste Management
Chapter number 8
Book title
Fuzzy Systems and Soft Computing in Nuclear Engineering
Published by
Physica, Heidelberg, January 2000
DOI 10.1007/978-3-7908-1866-6_8
Book ISBNs
978-3-79-082466-7, 978-3-79-081866-6
Authors

Pierre Kunsch, Antonio Fiordaliso, Philippe Fortemps

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 50%
Researcher 1 50%
Readers by discipline Count As %
Decision Sciences 1 50%
Energy 1 50%

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