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Artificial Intelligence and Soft Computing

11th International Conference, ICAISC 2012, Zakopane, Poland, April 29-May 3, 2012, Proceedings, Part I

  • Leszek Rutkowski
  • Marcin Korytkowski
  • Rafał Scherer
  • Ryszard Tadeusiewicz
  • Lotfi A. Zadeh
  • Jacek M. Zurada
Conference proceedings ICAISC 2012

Part of the Lecture Notes in Computer Science book series (LNCS, volume 7267)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 7267)

Table of contents

  1. Front Matter
    PDF

  2. Neural Networks and Their Applications

    1. Front Matter
      Pages 1-1
      PDF
    2. Neural Network-Based PCA: An Application to Approximation of a Distributed Parameter System
      Krzysztof Bartecki
      Pages 3-11
    3. Parallel Realisation of the Recurrent Multi Layer Perceptron Learning
      Jarosław Bilski, Jacek Smoląg
      Pages 12-20
    4. An Innovative Hybrid Neuro-wavelet Method for Reconstruction of Missing Data in Astronomical Photometric Surveys
      Giacomo Capizzi, Christian Napoli, Lucio Paternò
      Pages 21-29
    5. Speeding Up the Training of Neural Networks with CUDA Technology
      Daniel Salles Chevitarese, Dilza Szwarcman, Marley Vellasco
      Pages 30-38
    6. On the Uniform Convergence of the Orthogonal Series-Type Kernel Regression Neural Networks in a Time-Varying Environment
      Meng Joo Er, Piotr Duda
      Pages 39-46
    7. On the Strong Convergence of the Orthogonal Series-Type Kernel Regression Neural Networks in a Non-stationary Environment
      Piotr Duda, Yoichi Hayashi, Maciej Jaworski
      Pages 47-54
    8. On the Strong Convergence of the Recursive Orthogonal Series-Type Kernel Probabilistic Neural Networks Handling Time-Varying Noise
      Piotr Duda, Marcin Korytkowski
      Pages 55-62
    9. Incidental Neural Networks as Nomograms Generators
      Bogumił Fiksak, Maciej Krawczak
      Pages 63-71
    10. Selection of Activation Functions in the Last Hidden Layer of the Multilayer Perceptron
      Krzysztof Halawa
      Pages 72-80
    11. Information Freedom and Associative Artificial Intelligence
      Adrian Horzyk
      Pages 81-89
    12. On the Application of the Parzen-Type Kernel Regression Neural Network and Order Statistics for Learning in a Non-stationary Environment
      Maciej Jaworski, Meng Joo Er, Lena Pietruczuk
      Pages 90-98
    13. On Learning in a Time-Varying Environment by Using a Probabilistic Neural Network and the Recursive Least Squares Method
      Maciej Jaworski, Marcin Gabryel
      Pages 99-110
    14. Binary Perceptron Learning Algorithm Using Simplex-Method
      Vladimir Kryzhanovskiy, Irina Zhelavskaya, Jakov Karandashev
      Pages 111-118
    15. Objects Auto-selection from Stereo-Images Realised by Self-Correcting Neural Network
      Łukasz Laskowski
      Pages 119-125
    16. On-Line Trajectory-Based Linearisation of Neural Models for a Computationally Efficient Predictive Control Algorithm
      Maciej Ławryńczuk
      Pages 126-134
    17. Short Time Series of Website Visits Prediction by RBF Neural Networks and Support Vector Machine Regression
      Vladimir Olej, Jana Filipova
      Pages 135-142
    18. Spectra of the Spike-Flow Graphs in Geometrically Embedded Neural Networks
      Jarosław Piersa, Tomasz Schreiber
      Pages 143-151
    19. Weak Convergence of the Parzen-Type Probabilistic Neural Network Handling Time-Varying Noise
      Lena Pietruczuk, Meng Joo Er
      Pages 152-159
    20. Strong Convergence of the Recursive Parzen-Type Probabilistic Neural Network Handling Nonstationary Noise
      Lena Pietruczuk, Yoichi Hayashi
      Pages 160-168
    21. Improving Performance of Self-Organising Maps with Distance Metric Learning Method
      Piotr Płoński, Krzysztof Zaremba
      Pages 169-177
    22. Robust Neural Network for Novelty Detection on Data Streams
      Andrzej Rusiecki
      Pages 178-186
    23. Solving Differential Equations by Means of Feed-Forward Artificial Neural Networks
      Marek Wojciechowski
      Pages 187-195
    24. Practical Application of Artificial Neural Networks in Designing Parameters of Steel Heat Treatment Processes
      Emilia Wołowiec, Piotr Kula
      Pages 196-203

  3. Fuzzy Systems and Their Applications

    1. Front Matter
      Pages 205-205
      PDF
    2. A New Method for Dealing with Unbalanced Linguistic Term Set
      Łukasz Bartczuk, Piotr Dziwiński, Janusz T. Starczewski
      Pages 207-212
    3. Fuzzy Clustering of Intuitionistic Fuzzy Data
      Bohdan S. Butkiewicz
      Pages 213-220
    4. A New Method for Comparing Interval-Valued Intuitionistic Fuzzy Values
      Ludmila Dymova, Pavel Sevastjanov, Anna Tikhonenko
      Pages 221-228
    5. The Use of Belief Intervals in Operations on Intuitionistic Fuzzy Values
      Ludmila Dymova, Pavel Sevastjanov, Kamil Tkacz
      Pages 229-236
    6. A Method of Fast Application of the Fuzzy PID Algorithm Using Industrial Control Device
      Sławomir Jaszczak, Joanna Kołodziejczyk
      Pages 237-246
    7. Implications on Ordered Fuzzy Numbers and Fuzzy Sets of Type Two
      Magdalena Kacprzak, Witold Kosiński, Piotr Prokopowicz
      Pages 247-255
    8. Fuzzy Supervised Self-Organizing Map for Semi-supervised Vector Quantization
      Marika Kästner, Thomas Villmann
      Pages 256-265
    9. Fuzzy Inference-Based Reliable Fall Detection Using Kinect and Accelerometer
      Michal Kepski, Bogdan Kwolek, Ivar Austvoll
      Pages 266-273
    10. Defuzzification Functionals Are Homogeneous, Restrictive Additive and Normalized Functions
      Witold Kosiński, Agnieszka Rosa, Dorota Cendrowska, Katarzyna Węgrzyn-Wolska
      Pages 274-282
    11. Determining OWA Operator Weights by Mean Absolute Deviation Minimization
      Michał Majdan, Włodzimierz Ogryczak
      Pages 283-291
    12. Efficient MPC Algorithms Based on Fuzzy Wiener Models and Advanced Methods of Prediction Generation
      Piotr M. Marusak
      Pages 292-300
    13. Evaluation of Health-Related Fitness Using Fuzzy Inference Elements
      Tadeusz Nawarycz, Krzysztof Pytel, Lidia Ostrowska-Nawarycz
      Pages 301-309
    14. Fuzzy Regression Compared to Classical Experimental Design in the Case of Flywheel Assembly
      Jacek Pietraszek
      Pages 310-317
    15. A New Fuzzy Classifier for Data Streams
      Lena Pietruczuk, Piotr Duda, Maciej Jaworski
      Pages 318-324
    16. Metasets: A New Approach to Partial Membership
      Bartłomiej Starosta
      Pages 325-333
    17. On an Enhanced Method for a More Meaningful Pearson’s Correlation Coefficient between Intuitionistic Fuzzy Sets
      Eulalia Szmidt, Janusz Kacprzyk
      Pages 334-341
    18. Surface Area of Level-2 Fuzzy Regions
      Jörg Verstraete
      Pages 342-349
    19. Fuzzy Neural Gas for Unsupervised Vector Quantization
      Thomas Villmann, Tina Geweniger, Marika Kästner, Mandy Lange
      Pages 350-358
    20. Fuzzy Epoch-Incremental Reinforcement Learning Algorithm
      Roman Zajdel
      Pages 359-366

  4. Pattern Classification

    1. Front Matter
      Pages 367-367
      PDF
    2. Statistically–Induced Kernel Function for Support Vector Machine Classifier
      Cezary Dendek, Jacek Mańdziuk
      Pages 369-377
    3. Bandwidth Selection in Kernel Density Estimators for Multiple-Resolution Classification
      Mateusz Kobos, Jacek Mańdziuk
      Pages 378-386
    4. Competing Risks and Survival Tree Ensemble
      Małgorzata Krętowska
      Pages 387-393
    5. Sign Language Recognition Using Kinect
      Simon Lang, Marco Block, Raúl Rojas
      Pages 394-402

Other volumes

  1. Artificial Intelligence and Soft Computing
    11th International Conference, ICAISC 2012, Zakopane, Poland, April 29-May 3, 2012, Proceedings, Part I
  2. Artificial Intelligence and Soft Computing
    11th International Conference, ICAISC 2012, Zakopane, Poland, April 29-May 3, 2012, Proceedings, Part II

About these proceedings

Introduction

The two-volume set LNAI 7267 and LNCS 7268 (together with LNCS 7269) constitutes the refereed proceedings of the 11th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2012, held in Zakopane, Poland in April/May 2012.
The 212 revised full papers presented were carefully reviewed and selected from 483 submissions. The papers are organized in topical sections on neural networks and their applications, computer vision, image and speech analysis, data mining, hardware implementation, bioinformatics, biometrics and medical applications, concurrent parallel processing, agent systems, robotics and control, artificial intelligence in modeling and simulation, various problems od artificial intelligence.

Keywords

human-computer interaction knowledge management system parallel processing probabilistic algorithms semantic Web

Editors and affiliations

  • Leszek Rutkowski
    • 1
  • Marcin Korytkowski
    • 1
  • Rafał Scherer
    • 1
  • Ryszard Tadeusiewicz
    • 2
  • Lotfi A. Zadeh
    • 3
  • Jacek M. Zurada
    • 4
  1. 1.Częstochowa University of TechnologyCzęstochowaPoland
  2. 2.AGH University of Science and TechnologyKrakówPoland
  3. 3.Department of Electrical Engineering and Computer Sciences, Computer Science DivisionUniversity of California BerkeleyBerkeleyUSA
  4. 4.Computational Intelligence Laboratory, Electrical and Computer EngineeringUniversity of LouisvilleLouisvilleUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-29347-4
  • Copyright Information Springer-Verlag Berlin Heidelberg 2012
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-29346-7
  • Online ISBN 978-3-642-29347-4
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site
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