Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 1625)
Included in the following conference series:
Conference proceedings info: Fuzzy Days 1999.
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Table of contents (84 papers)
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Finding Relevant Process Characteristics with a Method for Data-Based Complexity Reduction
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Traffic Control in an ATM Network Using Rough Set Theory
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Evaluation of Characteristic Temperatures of Materials Using an Approximate Reasoning Method
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A Human Centered Architecture for Distributed Retrieval of Medical Images
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Representing the Real-Time-Behaviour of Technical Processes in Neural Nets by Using the Phase-Space-Flow of the Degrees of Freedom of the Nets
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Spatial Neural Networks Based on Fractal Algorithms Biomorph Nets of Nets of...
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Adaptive Control Systems Based on Neural Networks
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Function Approximation Using Tensor Product Bernstein Polynomials- Neuro & Evolutionary Approaches
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Tuning Considerations above a Fuzzy Controller Used for the Synchronous Generator
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A Sectoring Genetic Algorithm for the Urban Waste Collection Problem
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Parameter Optimization of Group Contribution Methods in High Dimensional Solution Spaces
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Applying Heuristic Algorithms on Structuring Europeanwide Distribution Networks
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Poster Abstracts
Other volumes
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Computational Intelligence
Keywords
About this book
Editors and Affiliations
Bibliographic Information
Book Title: Computational Intelligence: Theory and Applications
Book Subtitle: International Conference, 6th Fuzzy Days, Dortmund, Germany, May 25-28, 1999, Proceedings
Editors: Bernd Reusch
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/3-540-48774-3
Publisher: Springer Berlin, Heidelberg
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eBook Packages: Springer Book Archive
Copyright Information: Springer-Verlag Berlin Heidelberg 1999
Softcover ISBN: 978-3-540-66050-7Published: 19 May 1999
eBook ISBN: 978-3-540-48774-6Published: 16 July 2007
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XIV, 718
Topics: Artificial Intelligence, Computation by Abstract Devices, Mathematical Logic and Formal Languages, Complexity