Artificial Intelligence and Soft Computing

1. Front Matter

   Pages 1-23

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2. Neural Networks and Their Applications

   1. Front Matter

      Pages 1-1

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   2. Parallel Approach to the Levenberg-Marquardt Learning Algorithm for Feedforward Neural Networks

      • Jarosław Bilski, Jacek Smoląg, Jacek M. Żurada

      Pages 3-14

   3. Microarray Leukemia Gene Data Clustering by Means of Generalized Self-organizing Neural Networks with Evolving Tree-Like Structures

      • Marian B. Gorzałczany, Jakub Piekoszewski, Filip Rudziński

      Pages 15-25

   4. Innovative Types and Abilities of Neural Networks Based on Associative Mechanisms and a New Associative Model of Neurons

      • Adrian Horzyk

      Pages 26-38

   5. Complexity of Shallow Networks Representing Finite Mappings

      • Věra Kůrková

      Pages 39-48

   6. Probabilistic Neural Network Training Procedure with the Use of SARSA Algorithm

      • Maciej Kusy, Roman Zajdel

      Pages 49-58

   7. Extensions of Hopfield Neural Networks for Solving of Stereo-Matching Problem

      • Łukasz Laskowski, Jerzy Jelonkiewicz, Yoichi Hayashi

      Pages 59-71

   8. Molecular Approach to Hopfield Neural Network

      • Łukasz Laskowski, Magdalena Laskowska, Jerzy Jelonkiewicz, Arnaud Boullanger

      Pages 72-78

   9. Toward Work Groups Classification Based on Probabilistic Neural Network Approach

      • Christian Napoli, Giuseppe Pappalardo, Emiliano Tramontana, Robert K. Nowicki, Janusz T. Starczewski, Marcin Woźniak

      Pages 79-89

   10. Adaptation of RBM Learning for Intel MIC Architecture

       • Tomasz Olas, Wojciech K. Mleczko, Robert K. Nowicki, Roman Wyrzykowski, Adam Krzyzak

       Pages 90-101

   11. Using an Artificial Neural Network to Predict Loop Transformation Time

       • Marek Palkowski, Wlodzimierz Bielecki

       Pages 102-111

   12. Using Parity-N Problems as a Way to Compare Abilities of Shallow, Very Shallow and Very Deep Architectures

       • Paweł Różycki, Janusz Kolbusz, Tomasz Bartczak, Bogdan M. Wilamowski

       Pages 112-122

   13. Product Multi-kernels for Sensor Data Analysis

       • Petra Vidnerová, Roman Neruda

       Pages 123-133

3. Fuzzy Systems and Their Applications

   1. Front Matter

      Pages 135-135

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   2. A Fuzzy Approach to Competitive Clusters Using Moore Families

      • Victor Gerardo Alfaro-Garcia, Anna Maria Gil-Lafuente, Anna Klimova

      Pages 137-148

   3. A Fingerprint Retrieval Technique Using Fuzzy Logic-Based Rules

      • Rosario Arjona, Iluminada Baturone

      Pages 149-159

   4. Initial Comparison of Formal Approaches to Fuzzy and Rough Sets

      • Adam Grabowski, Takashi Mitsuishi

      Pages 160-171

   5. Comparative Approach to the Multi-Valued Logic Construction for Preferences

      • Krystian Jobczyk, Antoni Ligęza, Maroua Bouzid, Jerzy Karczmarczuk

      Pages 172-183

   6. Learning Rules for Type-2 Fuzzy Logic System in the Control of DeNOx Filter

      • Marcin Kacprowicz, Adam Niewiadomski, Krzysztof Renkas

      Pages 184-194

The two-volume set LNAI 9119 and LNAI 9120 constitutes the refereed proceedings of the 14th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2015, held in Zakopane, Poland in June 2015. The 142 revised full papers presented in the volumes, were carefully reviewed and selected from 322 submissions. These proceedings present both traditional artificial intelligence methods and soft computing techniques. The goal is to bring together scientists representing both areas of research. The first volume covers topics as follows neural networks and their applications, fuzzy systems and their applications, evolutionary algorithms and their applications, classification and estimation, computer vision, image and speech analysis and the workshop: large-scale visual recognition and machine learning. The second volume has the focus on the following subjects: data mining, bioinformatics, biometrics and medical applications, concurrent and parallel processing, agent systems, robotics and control, artificial intelligence in modeling and simulation and various problems of artificial intelligence.

• Artificial neural networks
• Bioinformatics
• Clustering and classification
• Data mining
• Distributed computing
• Evolutionary algorithms
• Functional programming
• Fuzzy logic
• Genetic algorithms
• Heterogeneous (hybrid) systems
• Image processing
• Machine learning
• Multi agent system
• Multi-core processing
• Ontology
• Optimization
• Parallel computing
• Social interaction
• Swarm intelligence
• Web service

• Częstochowa University of Technology, Częstochowa, Poland

  Leszek Rutkowski, Marcin Korytkowski, Rafal Scherer

• AGH University of Science and Technology, Krakow, Poland

  Ryszard Tadeusiewicz

• University of California, Berkeley, USA

  Lotfi A. Zadeh

• University of Louisville, Louisville, USA

  Jacek M. Zurada

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