Soft Computing: Methodologies and Applications

Soft Computing: Methodologies and Applications

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This carefully edited book covers a wide range of application areas of soft computing like optimization, data analysis and data mining, fault diagnosis, control as well as traffic and transportation systems. It contains 25 revised contributions from the 8th Online World Conferences on Soft Computing...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Hoffmann, Frank (Επιμελητής έκδοσης), Köppen, Mario (Επιμελητής έκδοσης), Klawonn, Frank (Επιμελητής έκδοσης), Roy, Rajkumar (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2005.
Σειρά:Advances in Soft Computing, 32
Θέματα:
Computer science.
Artificial intelligence.
Applied mathematics.
Engineering mathematics.
Computer Science.
Artificial Intelligence (incl. Robotics).
Appl.Mathematics/Computational Methods of Engineering.
Applications of Mathematics.
Information Systems Applications (incl. Internet).
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • Keynote Papers
  • Discovery of Fuzzy Temporal Associations in Multiple Data Streams
  • Applications of Soft Computing in Traffic and Transportation Systems
  • Soft Computing Applications in Traffic and Transport Systems: A Review
  • Estimation of Public Transport Trips By Feed Forward Back Propagation Artificial Neural Networks; A Case Study For Istanbul
  • Clustering of Activity Patterns Using Genetic Algorithms
  • A Mathematical Model for Evaluation of Information Effects in ATIS (Advanced Traveler Information Systems) Environment
  • Evolutionary Algorithms I
  • Interactive Evolutionary Computation in Identification of Dynamical Systems
  • Replacement Strategies to Maintain Useful Diversity in Steady-State Genetic Algorithms
  • Hierarchical Modelling of Evolutionary Computation
  • An ALife-Inspired Evolutionary Algorithm for Dynamic Multiobjective Optimization Problems
  • Evolutionary Algorithms II
  • Optimum Tests Selection for Analog Circuits with the Use of Genetic Algorithm
  • Unsupervised Pixel Clustering in Multispectral Images by Genetic Programming
  • A Genetic Programming System for Time Series Prediction and Its Application to El Niño Forecast
  • Evolutionary Optimization of Parametric Models: the Test Case of Combustion in a Diesel Engine
  • Fuzzy Systems and Neural Networks
  • Rule Learning and Extraction Using a Hybrid Neural Network: A Case Study on Fault Detection and Diagnosis
  • Applying the Potentiality of Using Fuzzy Logic in PID Control Design
  • Wavelet Neural Networks and Its Applications in Chaotic Systems Identification
  • Fuzzy Specializations and Aggregation Operator Design in Competence — Based Human Resource Selection
  • Data Analysis
  • Personalizing Information Services for Mobile Users
  • Detecting and Verifying Dissimilar Patterns in Unlabelled Data
  • UPoet: A 3D Agent Able to Compose Short Poems
  • A Study on the Combination of Evolutionary Algorithms and Stratified Strategies for Training Set Selection in Data Mining
  • Soft Computing for Modeling, Optimization and Information Processing
  • Predictive Controller Tuning Using Modified Particle Swarm Optimization Based on Cauchy and Gaussian Distributions
  • A Realistic Information Retrieval Environment to Validate a Multiobjective GA-P Algorithm for Learning Fuzzy Queries
  • Evolutionary Learning of a Fuzzy Controller for Mobile Robotics
  • Genetic Algorithm in Process Optimisation Problems.

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