Computational Intelligence. Theory and Applications

International Conference, 5th Fuzzy Days, Dortmund, Germany, April 28-30, 1997 Proceedings
1997
ISBN: 978-3-540-62868-2
Verlag: Springer Berlin Heidelberg

Buch, Englisch, Band 1226, 609 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 1930 g

Reihe: Lecture Notes in Computer Science

This book constitutes the refereed proceedings of the International Conference on Computational Intelligence held in Dortmund, Germany, as the 5th Fuzzy Days, in April 1997.
Besides three invited contributions, the book presents 53 revised full papers selected from a total of 130 submissions. Also included are 35 posters documenting a broad scope of applications of computational intelligence techniques in a variety of areas. The volume addresses all current issues in computational intelligence, e.g. fuzzy logic, fuzzy control, neural networks, evolutionary algorithms, genetic programming, neuro-fuzzy systems, adaptation and learning, machine learning, etc.

Zielgruppe

Research

Autoren/Hrsg.

Reusch, Bernd

Fachgebiete

• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Programmierung: Methoden und Allgemeines
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Wissensbasierte Systeme, Expertensysteme
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Spiele-Programmierung, Rendering, Animation
• Mathematik | Informatik EDV | Informatik Informatik Logik, formale Sprachen, Automaten
• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik Robotik
• Technische Wissenschaften Technik Allgemein Mathematik für Ingenieure
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Grafikprogrammierung
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Informationstheorie, Kodierungstheorie
• Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Informationstheorie, Kodierungstheorie

Inhaltsverzeichnis

A global representation scheme for genetic algorithms.- Genetic algorithms, schemata construction and statistics.- Adaptive non-uniform mutation for genetic algorithms.- Structure identification of functional-type fuzzy models with application to modelling nonlinear dynamic plants.- Identification of systems using radial basis networks feedbacked with FIR filters.- A novel neurocomputing approach to nonlinear stochastic state estimation.- A toolset for the design of analogous fuzzy-hardware.- Genetic algorithms with optimal structure applied to Evolvable HardWare (EHW).- Position control system with fuzzy microprocessor AL220.- Fuzzy-neural computing systems: Recent developments and future directions.- Optimizing the self-organizing-process of topology maps.- Syntactical Self-Organizing Map.- On-line learning based on adaptive similarity and fixed size rule base.- Ability of Fuzzy Constraint Networks to reduce the dynamic of changes in product development.- A novel neural network technique for modelling data containing multiple functions.- Using Genetic Engineering to find modular structures and activation functions for architectures of Artificial Neural Networks.- Genetic Algorithms for solving Systems of Fuzzy Relational Equations.- On the chaining of fuzzy IF-THEN rule bases interpreted by the principle FATI II. The case of non-singleton inputs.- Chaining syllogism applied to fuzzy IF-THEN rules and rule bases.- Computational properties of fuzzy logic deduction.- Fuzzy diagnosis of float-glass production furnace.- Application of fuzzy control to fed-batch yeast fermentation.- Adaptation, learning, and evolutionary computing for intelligent robots.- About Linguistic Negation of Nuanced Property in declarative modeling in image synthesis.- Fuzzy clustering and images reduction.- Predicates and superimposed coding: An application to image recognition.- Locally adaptive fuzzy image enhancement.- Fuzzy modeling of conceptual spaces.- Construction of a fuzzy model with few examples.- Rare fault detection by possibilistic reasoning.- Fuzzy zeroes and indistinguishability of real numbers.- Detection of sleep with new preprocessing methods for EEG analysing.- Application of evolutionary algorithms to the problem of new clustering of psychological categories using real clinical data sets.- Forecasting sales using neural networks.- Word-concept clusters in a legal document collection.- A retrospective view and outlook on evolutionary algorithms.- A self tuning fuzzy controller.- A new type of fuzzy logic system for adaptive modelling and control.- Scalar optimization with linear and NOnlinear Constraints using EVOlution Strategies.- Continuous control of a synchronous generator's active and reactive power connected to network by using fuzzy neural networks algorithms.- Design of adaptive fuzzy controller for bolu highway tunnel ventilation system.- Layered neural networks as universal approximators.- Fuzzy backpropagation training of neural networks.- Fuzzy and neural network controller — a new tool for stability analysis.- Evolution strategies applied to controls on a two axis robot.- Purposeful and reactive navigation based on qualitative path planning and fuzzy logic.- Application of the approximate fuzzy reasoning based on interpolation in the vague environment of the fuzzy rulebase in the fuzzy logic controlled path tracking strategy of differential steered AGVs.- An approach for data analysis and forecasting with neuro fuzzy systems — Demonstrated on flood events at river Mosel.- Identification of Waste Water Treatment Plant usingNeural Networks.- Fuzzy logic based control of Switched Reluctance Motor to reduce torque ripple.- Fuzzy logic control of high voltage DC transmission system.- Compensation for unbalances at magnetic bearings.- Supervised classification of remotely sensed images based on fuzzy sets.- An adjusted evolutionary algorithm for the optimization of fuzzy controllers.- Power factor correction in power systems having load asymmetry by using fuzzy logic controller.- Fuzzy partitions in learning from examples.- Economic forecasting using Genetic Algorithms.- Interactive Genetic Algorithms and Evolution based Cooperative Problem-Solving.- A fuzzy model based control of well mixed reactor with cooling jacket.- Optimizing video signal processing algorithms by evolution strategies.- An example for decision support in insurance.- Fuzzy identification of distributed components.- Neural control of a nonlinear elastic two-mass system.- A learning fuzzy system for predicting overshootings in process control.- ANN — based power unit protective system.- A scheduling problem with multicriteria evaluation.- Hardware implementation of a mixed analog-digital neural network.- A fuzzy segmentation method for digital substract angiograms analysis.- Application of genetic algorithms to computer assignment problem in distributed hard real-time systems.- Local search for computing normal circumstances models (abstract).- A graphical tool for implementing Neural Networks for digital Signal Processing on Parallel computers.- Fuzzy guidance controller for paraglider.- An efficient algorithm approximately solving the General routing Problem in Graphs.- Design of a method for machine scheduling for core blowers in foundries.- Paragen II: Evolving parallel transformation rules.- Alarm optimising by fuzzylogic in preterm infants monitoring.- Supervised learning of fuzzy tree hypotheses.- A fuzzy neural network sensor for fermentation processes.- Convex fuzzy restriction.- Genetic programming in optimization of Algorithms.- Application of fuzzy logic in solving problems from the area of reliability and maintenance of aircraft systems.- A fuzzy based texture retrieval system that considers psychological aspects.- Neuro-fuzzy approach for electro-discharge sinking process control.- Simulation of analogue electronic circuits using fuzzy curves.- Correlated activity pruning (CAPing).- Fuzzy control design of an activated sludge plant.- Use of fuzzy objects for statistical description of discrete systems with complex behavior.- On applying genetic algorithms to an intelligent sliding-mode control system training.- Neural networks and edge detection.- Design elements of EHW using GA with local improvement of chromosomes.- ANN and Fuzzy logic applied to control of disturbances in mechatronics system.