The State Of The Art In Computational Intelligence: Proceedings Of The European Symposium On Computational Intelligence Held In Koa Ice, Slovak Republ by Peter SincakThe State Of The Art In Computational Intelligence: Proceedings Of The European Symposium On Computational Intelligence Held In Koa Ice, Slovak Republ by Peter Sincak

The State Of The Art In Computational Intelligence: Proceedings Of The European Symposium On…

byPeter SincakForeword byL.A. ZadehEditorJan Vascak

Paperback | August 7, 2000

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Computational Intelligence is a very dynamic domain of modern information society which integrates fields such as neural networks, fuzzy systems, evolutionary computation and intelligent systems in general. The book presents papers from the Euro-International Symposium on Computational Intelligence held in Kosice (Slovak Republic) in August 2000. It contains theoretical studies along with a chapter on applications and case studies. One of the main results of the symposium is that the combination of various techniques into hybrid intelligent systems will be very important for the development of intelligent information systems in the 21st century. The book also contains interesting forewords written by L.A. Zadeh, D.E. Goldberg, and K. Fukushima.
Title:The State Of The Art In Computational Intelligence: Proceedings Of The European Symposium On…Format:PaperbackDimensions:401 pages, 23.5 × 15.5 × 0.01 inPublished:August 7, 2000Publisher:Springer-Verlag/Sci-Tech/TradeLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:3790813222

ISBN - 13:9783790813227

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Table of Contents

Forewords: L.A. Zadeh: The Role of Fuzzy Systems in Computational Intelligence.- D.E. Goldberg: A Meditation on Computational Intelligence and Its Future.- K. Fukushima: Computational Intelligence and Modeling Neural Networks.- P. Sincak: Preface. Neural Networks: A. Chan, T. Spracklen: Discovering Common Features in Software Code Using Self-Organizing Maps.- N. Kopco, G.A. Carpenter: Graded Signal Functions for ARTMAP Neural Networks.- G. Andrejkova: Incremental Approximation by Layer Neural Networks.- V. Golovko, Y. Savitsky, T. Laopoulos, A. Sachenko, L. Grandinetti: Efficient Training of MLP with Training Step Rate Estimation.- I. Farkas: Self-Organizing Maps for Representing Structures.- R. Forgac, I. Mokris: Invariant Representation of Images by Pulse Coupled Neural Network.- S. Papadimitriou, L. Vladutu, S. Mavroudi, A. Bezerianos: Detection of Ischemic Episodes with a Combination of Unsupervised and Supervised Learning.- M. Jaszuk, W.A. Kaminski, A.D. Linkevich: Spatial Distribution of Patterns and the Hopfield Network Phase Space Geometry.- D. Hajtas, D. Durackova, G. Benyon-Tinker: Switched Capacitor-Based Integrate-And-Fire Neural Network.- J. Stefanovic: A Neural Network Algorithm for Digital Circuits Test Generation.- J. Ocenasek, J. Schwarz: The Parallel Bayesian Optimization Algorithm.- D. Krokavec, A. Filasova: Application of Heuristic Programming to Dynamic System Stabilization.- P. Geczy, S. Usui, J. Chmurny: First Order Dynamic Instance Selection. Fuzzy Systems: L.A. Zadeh: Toward an Enlargement of the Role of Natural Languages in Information Processing, Decision and Control.- M. Oussalah: Notes on Fusion of Uncertain Information.- K.-H. Temme, M. Fathi: Fix-Mundis for Fuzzy IF-THEN Rule Bases with T-Norm Based Compositional Rule of Inference Interpretation.- M. Navara, Z. Zabokrtsky: Computational Problems of Constrained Fuzzy Arithmetic.- S. Varga, M. Sabo: Linear Regression with Fuzzy Variables.- Z.M. Gacovski, G.M. Dimirovski, S. Deskovski: Fuzzy-Petri Net Reasoning System and Transfering of Knowledge to the Markov Chain.- T.H. Cao: Fuzzy Conceptual Graphs: A Language for Computational Intelligence Approaching Human Expression.- F. Botana, J. Ranilla, R. Mones, A. Bahamonde: A New Heuristic Measure for Learning Rules from Fuzzy Data.- B. De Baets: On the Role of Transitivity in Fuzzy Relational Calculus.- A. Slyeptsov, T. Tyshchuk: Project Network Planning on the Basis of Generalized Fuzzy Critical Path Method.- P. Marcincak, M. Matula: Flexible Querying - Data Structures Unification.- D. Smutna, P. Vojtas: New Connectives for (Full) Fuzzy Resolution.- I. Borgulya: Learn the Ranking of Precedence Cases.- A. Chodorek: Sugeno-Type Fuzzy Predictor of the MPEG Video Stream. Miscellaneous CI Techniques: F. Alexandre: Biological Inspiration for Multiple Memories Implementation and Cooperation.- J. Pospichal: Optimization as a Multisage Decision Making.- M. Dobes: Can Computers Be Conscious? Methodological Considerations from the Standpoint of the Humanities. Hybrid Systems: R. Matousek, P. Osmera, J. Roupec: GA-FIS for Dynamic Environment.- V. Olej, J. Krupka: Genetic Method for Optimization of Fuzzy Neural Networks.- Z. Raida: A Reverse Neural Model of a General Planar Transmission Line.- S. Girshgorn: Fuzzy Sets and the Theory of Neuronal Group Selection for the Problem of Interpretation.- D. Rutkowska, R. Nowicki, L. Rutkowski: Neuro-Fuzzy Architectures with Various Implication Operators.- P. Sincak, M. Hric, N. Kopco, J. Vascak: Fuzzy Cluster Identification Using Neural Networks. Applications and Case Studies: R. Blasko: Soft Computing Applications Developed by ECANSE.- M. Lukac, P. Bourgine: Tetris Player: Strategy Driven Algorithm.- P. Szathmary, M. Kolcun: Electrical Daily Load Forecasting Using Artificial Neural Network in the Power System of the Slovak Republic.- M. Hrehus, S. Figedy: Practical Approach to Prediction of Plant Technological