Overview
- Offers a snapshot of current research in fuzzy logic and neural networks
- Reports on advanced theories and methods related to Claudio Moraga’s research topics
- Highlights the outstanding contribution of Claudio Moraga to the field of multi-valued logic
- Includes supplementary material: sn.pub/extras
Part of the book series: Studies in Fuzziness and Soft Computing (STUDFUZZ, volume 349)
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Table of contents(21 chapters)
Keywords
- Claudio Moraga
- Multi-Valued Logic
- Complex-Valued Neural Networks
- Recurrent Neural Networks
- Class-Memory Automata
- Time Series Forecasting
- Ensemble Methods
- Genetic Programming
- Reversible Circuits
- Sequential Bayesian Estimation
- Fuzzy Lisp
- Interval Fuzzy Sets
- Hybrid Neural Models
- Logical Decision Making
- Reed-Muller-Fourier Transform
- Semantic-Based Models
- Conditional Distances
- Extended Aggregation Functions
- Learning Algorithms
- algorithm analysis and problem complexity
About this book
The book is an authoritative collection of contributions by leading experts on the topics of fuzzy logic, multi-valued logic and neural network. Originally written as an homage to Claudio Moraga, seen by his colleagues as an example of concentration, discipline and passion for science, the book also represents a timely reference guide for advance students and researchers in the field of soft computing, and multiple-valued logic.
Editors and Affiliations
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Escuela de IngenieríaInformática, Pontificia Universidad Católica de Valparaíso, Valparaíso, Chile
Rudolf Seising
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Geschichte der Nat, "Ernst-Haeckel-Haus", Deutsches Museum, Munich, Germany
Héctor Allende-Cid
Bibliographic Information
Book Title: Claudio Moraga: A Passion for Multi-Valued Logic and Soft Computing
Editors: Rudolf Seising, Héctor Allende-Cid
Series Title: Studies in Fuzziness and Soft Computing
DOI: https://doi.org/10.1007/978-3-319-48317-7
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing AG 2017
Hardcover ISBN: 978-3-319-48316-0Published: 15 November 2016
Softcover ISBN: 978-3-319-83912-7Published: 22 April 2018
eBook ISBN: 978-3-319-48317-7Published: 20 October 2016
Series ISSN: 1434-9922
Series E-ISSN: 1860-0808
Edition Number: 1
Number of Pages: XIV, 382
Number of Illustrations: 132 b/w illustrations, 5 illustrations in colour
Topics: Algorithm Analysis and Problem Complexity, Circuits and Systems, Artificial Intelligence