Artificial Intelligence and Soft Computing

1. Front Matter

   Pages I-XXIV

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2. Neural Networks and Their Applications

   1. Front Matter

      Pages 1-1

      PDF

   2. Visualizing and Understanding Nonnegativity Constrained Sparse Autoencoder in Deep Learning

      • Babajide O. Ayinde, Ehsan Hosseini-Asl, Jacek M. Zurada

      Pages 3-14

   3. Experimental Analysis of Forecasting Solar Irradiance with Echo State Networks and Simulating Annealing

      • Sebastián Basterrech

      Pages 15-24

   4. Neural System for Power Load Prediction in a Week Time Horizon

      • Andrzej Bielecki, Marcin Lenart

      Pages 25-34

   5. A New Proposition of the Activation Function for Significant Improvement of Neural Networks Performance

      • Jarosław Bilski, Alexander I. Galushkin

      Pages 35-45

   6. Application of the Givens Rotations in the Neural Network Learning Algorithm

      • Jarosław Bilski, Bartosz Kowalczyk, Jacek M. Żurada

      Pages 46-56

   7. Parallel Learning of Feedforward Neural Networks Without Error Backpropagation

      • Jarosław Bilski, Bogdan M. Wilamowski

      Pages 57-69

   8. Parallelization of Image Encryption Algorithm Based On Chaotic Neural Networks

      • Dariusz Burak

      Pages 70-80

   9. Ensemble ANN Classifier for Structural Health Monitoring

      • Ziemowit Dworakowski, Tadeusz Stepinski, Krzysztof Dragan, Adam Jablonski, Tomasz Barszcz

      Pages 81-90

   10. Characterisation and Modeling of Organic Solar Cells by Using Radial Basis Neural Networks

       • Dor Gotleyb, Grazia Lo Sciuto, Christian Napoli, Rafi Shikler, Emiliano Tramontana, Marcin Woźniak

       Pages 91-103

   11. Method Enabling the First Hidden Layer of Multilayer Perceptrons to Make Division of Space with Various Hypercurves

       • Krzysztof Halawa

       Pages 104-113

   12. Rough Restricted Boltzmann Machine – New Architecture for Incomplete Input Data

       • Wojciech K. Mleczko, Robert K. Nowicki, Rafał Angryk

       Pages 114-125

   13. Word Embeddings for the Polish Language

       • Marek Rogalski, Piotr S. Szczepaniak

       Pages 126-135

   14. Estimation of Deep Neural Networks Capabilities Using Polynomial Approach

       • Pawel Rozycki, Janusz Kolbusz, Roman Korostenskyi, Bogdan M. Wilamowski

       Pages 136-147

   15. Training Neural Networks by Optimizing Random Subspaces of the Weight Space

       • Ewa Skubalska-Rafajłowicz

       Pages 148-157

   16. Single Layer Feedforward Networks Construction Based on Orthogonal Least Square and Particle Swarm Optimization

       • Xing Wu, Pawel Rozycki, Bogdan M. Wilamowski

       Pages 158-169

3. Fuzzy Systems and Their Applications

   1. Front Matter

      Pages 171-171

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   2. Problems of Identification of Cloud-Based Fuzzy Evolving Systems

      • Sašo Blažič, Igor Škrjanc

      Pages 173-182

   3. Uncertainty Measurement for the Interval Type-2 Fuzzy Set

      • Sarah Greenfield

      Pages 183-194

The two-volume set LNAI 9692 and LNAI 9693 constitutes the refereed proceedings of the 15th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2016, held in Zakopane, Poland in June 2016.


The 134 revised full papers presented were carefully reviewed and selected from 343 submissions. The papers included in the first volume are organized in the following topical sections: neural networks and their applications; fuzzy systems and their applications; evolutionary algorithms and their applications; agent systems, robotics and control; and pattern classification. The second volume is divided in the following parts: bioinformatics, biometrics and medical applications; data mining; artificial intelligence in modeling and simulation; visual information coding meets machine learning; and various problems of artificial intelligence. 

• artificial neural networks
• fuzzy logic
• machine learning
• particle swarm optimization
• recommender system
• clustering
• computational biology
• computer vision
• data analysis
• discrete optimization
• evolutionary algorithms
• genetic algorithms
• image database
• logic programming
• multi-agent systems
• natural language processing
• ontology-based methods
• optimization
• parallel computing
• probabilistic approximations

• Częstochowa University of Technology, Czestochowa, Poland

  Leszek Rutkowski, Marcin Korytkowski, Rafał 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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