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The State of the Art in Computational Intelligence: Proceedings of the European Symposium on Computational Intelligence held in Košice, Slovak Republic, August 30-September 1, 2000 de Peter Sincak

The State of the Art in Computational Intelligence: Proceedings of the European Symposium on Computational Intelligence held in Košice, Slovak Republic, August 30-September 1, 2000: Advances in Intelligent and Soft Computing, cartea 5

Editat de Peter Sincak Cuvânt înainte de L.A. Zadeh Editat de Jan Vascak Cuvânt înainte de D.E. Goldberg Editat de Vladimir Kvasnicka Cuvânt înainte de K. Fukushima Editat de Radko Mesiar
en Limba Engleză Paperback – 7 aug 2000
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.
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Specificații

ISBN-13: 9783790813227
ISBN-10: 3790813222
Pagini: 424
Ilustrații: XXII, 401 p.
Dimensiuni: 155 x 235 x 22 mm
Greutate: 0.59 kg
Editura: Physica-Verlag HD
Colecția Physica
Seria Advances in Intelligent and Soft Computing

Locul publicării:Heidelberg, Germany

Public țintă

Research

Cuprins

1: Neural Networks.- Discovering Common Features in Software Code Using Self-Organizing Maps.- Graded Signal Functions for ARTMAP Neural Networks.- Incremental Approximation by Layer Neural Networks.- Efficient Training of MLP with Training Step Rate Estimation.- Self-Organizing Maps for Representing Structures.- Invariant Representation of Images by Pulse Coupled Neural Network.- Detection of Ischemic Episodes with a Combination of Unsupervised and Supervised Learning.- Spatial Distribution of Patterns and the Hopfield Network Phase Space Geometry.- Switched Capacitor-Based Integrate-And-Fire Neural Network.- A Neural Network Algorithm for Digital Circuits Test Generation.- The Parallel Bayesian Optimization Algorithm.- Application of Heuristic Programming to Dynamic System Stabilization.- First Order Dynamic Instance Selection.- 2: Fuzzy Systems.- Toward an Enlargement of the Role of Natural Languages in Information Processing, Decision and Control.- Notes on Fusion of Uncertain Information.- Fix-Mundis for Fuzzy IF-THEN Rule Bases with T-Norm Based Compositional Rule of Inference Interpretation.- Computational Problems of Constrained Fuzzy Arithmetic.- Linear Regression with Fuzzy Variables.- Fuzzy-Petri Net Reasoning System and Transfering of Knowledge to the Markov Chain.- Fuzzy Conceptual Graphs: A Language for Computational Intelligence Approaching Human Expression and Reasoning.- A New Heuristic Measure for Learning Rules from Fuzzy Data.- On the Role of Transitivity in Fuzzy Relational Calculus.- Project Network Planning on the Basis of Generalized Fuzzy Critical Path Method.- Flexible Querying — Data Structures Unification.- New Connectives for (Full) Fuzzy Resolution.- Learn the Ranking of Precedence Cases.- Sugeno-Type Fuzzy Predictor of the MPEG VideoStream.- 3: Miscellaneous CI Techniques.- Biological Inspiration for Multiple Memories Implementation and Cooperation.- Optimization as a Multistage Decision Making.- Can Computers Be Conscious? Methodological Considerations from the Standpoint of the Humanities.- 4: Hybrid Systems.- GA-FIS for Dynamic Environment.- Genetic Method for Optimization of Fuzzy Neural Networks Structure.- A Reverse Neural Model of a General Planar Transmission Line.- Fuzzy Sets and the Theory of Neuronal Group Selection for the Problem of Interpretation.- Neuro-Fuzzy Architectures with Various Implication Operators.- Fuzzy Cluster Identification Using Neural Networks.- 5: Applications and Case Studies.- Soft Computing Applications Developed by ECANSE.- Tetris Player: Strategy Driven Algorithm.- Electrical Daily Load Forecasting Using Artificial Neural Network in the Power System of Slovak Republic.- Practical Approach to Prediction of Plant Technological Parameters with Missing Data.- Application of Artificial Neural Networks to Represent the Rainfall-Runoff Process for Flow Forecasting.- Using Neural Network in Cryptography.- Application of Artificial Neural Network Strategies in Process Control.- Design of a Fuzzy Adaptive Autopilot.- Mobile Robot Control Using BP Based Adaptive Critics.- Computational Intelligence Controllers for Lego Robots — Comparison Study.- Document Clustering with Neural Networks.- Dual-Tone Multiple Frequency Detection Using Adaptive Filters and Neural Network Classifiers.- An Experiment with Feed-Forward Neural Network for Speech Recognition.- Increase the Pattern Capability in System for Flying Object Recognition.- Personal Verification with Hand Shapes Using a Modular — Type Neural Network with RBF Output Units.- A Soft Measurement Technique for SearchingSignificant Subsets of Prostate Cancer Prognostic Markers.- Application of an Adaptive Hybrid Neural Network to Medical Diagnosis.- Reliability of Artificial Neural Network Predictions — A Case Study in Drug Release Profile Predictions.- An Island-Based Evolutionary Algorithm for Maximizing Schedule Reliability.- Using of Genetic Algorithms (GA) in the Operating Control in Power System of Slovak Republic.- A Population Learning Algorithm for Solving the Generalized Segregated Storage Problem.- Using Support Vectors Machine for Classification of Remotely Sensed Images.- Posters.- Application of Neural Network for Stress Classification.- Solvability and Stability of Fuzzy Relation Equations.- Hybrid Evolutionary — Tabu Search Algorithm for Scheduling Multiple-Variant Tasks.- Self-Adaptation in Evolutionary Design of Neural Networks.- Genetic Algorithms Efficiency in Neural Network Learning.- Using Genetic Algorithm for Fuzzy Filter Optimisation.- An Approach to Mobile Robot Learning.- Reactive Agents Based Autonomous Transport System.- Mathematical Notes on Neural Networks.- Entropy of Fuzzy Dynamical Systems.- Neural Extension of Fuzzy Prolog.

Textul de pe ultima copertă

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 European Symposium on Computational Intelligence held in Kosice (Slovak Republic) in August 2000. It contains theoretical studies as well as a chapter on applications and case studies. One of the main results is the combination of various techniques into hybrid intelligent systems which will be very important for the development of intelligent information systems in the 21th centrury. With forewords written by L. Zadeh, D. Goldberg, and K. Fukushima.