Projects funded by the NCN

Information on the principal investigator and host institution

Information of the project and the call

Keywords

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Intelligent nonlinear systems with shallow and deep architectures

2013/11/B/ST6/01337

Keywords:

learning systems neural networks architecture training algorithms complex systems

Descriptors:

  • ST6_7: Artificial intelligence, intelligent systems, multi-agent systems
  • ST6_12: Scientific computing, simulation and modelling tools

Panel:

ST6 - Computer science and informatics: informatics and information systems, computer science, scientific computing, intelligent systems

Host institution :

Wyższa Szkoła Informatyki i Zarządzania w Rzeszowie

woj. podkarpackie

Other projects carried out by the institution 

Principal investigator (from the host institution):

prof. Bogdan Wilamowski 

Number of co-investigators in the project: 5

Call: OPUS 6 - announced on 2013-09-16

Amount awarded: 416 050 PLN

Project start date (Y-m-d): 2014-07-16

Project end date (Y-m-d): 2017-01-15

Project duration:: 30 months (the same as in the proposal)

Project status: Project settled

Equipment purchased [PL]

  1. Komputer stacjonarny (12 000 PLN)
  2. Oprogramowanie specjalistyczne (15 000 PLN)
  3. Monitor LCD (3 600 PLN)

Information in the final report

  • Publication in academic press/journals (6)
  • Articles in post-conference publications (2)
  • Book publications / chapters in book publications (5)
  1. A Fast Density and Grid Based Clustering Method for Data with Arbitrary Shapes and Noise
    Authors:
    Bo Wu, Bogdan M. Wilamowski
    Academic press:
    IEEE Transactions on Industrial Informatics (rok: 2016, tom: PP, strony: 45292), Wydawca: IEEE
    Status:
    Published
    DOI:
    10.1109/TII.2016.2628747 - link to the publication
  2. Nearest-Neighbor Spline Approximation (NNSA) Improvement to TSK Fuzzy Systems
    Authors:
    Jordan Richardson, Janusz Korniak, Philip D. Reiner, Bogdan M. Wilamowski
    Academic press:
    IEEE Transactions on Industrial Informatics (rok: 2016, tom: 12, strony: 169 - 178), Wydawca: IEEE
    Status:
    Published
    DOI:
    10.1109/TII.2015.2499122 - link to the publication
  3. A Novel RBF Training Algorithm for Short-Term Electric Load Forecasting and Comparative Studies
    Authors:
    C. Cecati, J. Kolbusz, P. Siano, P. Różycki, B. Wilamowski
    Academic press:
    IEEE Transactions on Industrial Electronics (rok: 2015, tom: Vol:62,Issue:10, strony: 6519 - 6529), Wydawca: IEEE
    Status:
    Published
    DOI:
    10.1109/TIE.2015.2424399 - link to the publication
  4. A Hybrid Constructive Algorithm for Single-Layer Feedforward Networks Learning
    Authors:
    Xing Wu, Paweł Różycki, and Bogdan M. Wilamowski
    Academic press:
    IEEE Transactions on Neural Networks and Learning Systems (rok: 2015, tom: Vol.26,Issue 8, strony: 1659-1668), Wydawca: IEEE
    Status:
    Published
    DOI:
    10.1109/TNNLS.2014.2350957 - link to the publication
  5. Fully Connected Cascade Artificial Neural Network Architecture for Attention Deficit Hyperactivity Disorder Classification From Functional Magnetic Resonance Imaging Data
    Authors:
    G. Deshpande, P. Wang, D. Rangaprakash, B. Wilamowski
    Academic press:
    IEEE Transactions on Cybernetics, (rok: 2015, tom: Vol.45,Issue.12, strony: 2168-2267), Wydawca: IEEE
    Status:
    Published
    DOI:
    10.1109/TCYB.2014.2379621 - link to the publication
  6. PolyNet - A Polynomial-Based Learning Machine for Universal Approximation
    Authors:
    M. Pukish, P. Różycki, B. Wilamowski
    Academic press:
    IEEE Transactions on Industrial Informatics (rok: 2015, tom: Vol.11,Issue:3, strony: 708-716), Wydawca: IEEE
    Status:
    Published
    DOI:
    10.1109/TII.2015.2426012 - link to the publication
  1. Dedicated Deep Neural Network Architectures and Methods for Their Training
    Authors:
    P. Różycki, J. Kolbusz, B. Wilamowski
    Conference:
    IEEE 19th International Conference on Intelligent Engineering Systems (INES'15) (rok: 2015, ), Wydawca: IEEE
    Data:
    konferencja 3-5 wrzesień 2015
    Status:
    Published
    DOI:
    link to the publication
  2. Learning architectures with enhanced capabilities and easier training
    Authors:
    Bogdan M. Wilamowski, Janusz Korniak
    Conference:
    IEEE 19th International Conference on Intelligent Engineering Systems (INES'15) (rok: 2015, ), Wydawca: IEEE
    Data:
    konferencja 2-5 września 2015
    Status:
    Published
    DOI:
    link to the publication
  1. Using Parity-N Problems as a Way to Compare Abilities of Shallow, Very Shallow and Very Deep Architectures
    Authors:
    P. Różycki, J. Kolbusz, T. Bartczak, B. Wilamowski
    Book:
    Artificial Intelligence and Soft Computing, Lecture Notes in Computer Science, 14th International Conference, ICAISC 2015, Zakopane, Poland, June 14-18, 2015, Proceedings, Part I (rok: 2015, tom: vol. 9119, strony: 112-122), Wydawca: Springer
    Status:
    Published
    DOI:
    link to the publication
  2. The study of architecture MLP with linear neurons in order to eliminate the "vanishing gradient" problem
    Authors:
    Janusz Kolbusz, Pawel Rozycki, Bogdan M. Wilamowski
    Book:
    Artificial Intelligence and Soft Computing. ICAISC 2017. Lecture Notes in Computer Science (rok: 2017, tom: brak, strony: brak), Wydawca: Springer
    Status:
    Accepted for publication
  3. Single Layer Feedforward Networks Construction Based on Orthogonal Least Square and Particle Swarm Optimization
    Authors:
    Xing Wu, Pawel Rozycki, Bogdan M. Wilamowski
    Book:
    Artificial Intelligence and Soft Computing. ICAISC 2016. Lecture Notes in Computer Science (rok: 2016, tom: 9692, strony: 158-169), Wydawca: Springer
    Status:
    Published
  4. Neural Network Training Improvement by Patterns Removing
    Authors:
    Pawel Rozycki, Janusz Kolbusz, Oleksandr Lysenko, Bogdan M. Wilamowski
    Book:
    Artificial Intelligence and Soft Computing. ICAISC 2017. Lecture Notes in Computer Science (rok: 2017, tom: brak, strony: brak), Wydawca: Springer
    Status:
    Accepted for publication
  5. Estimation of Deep Neural Networks Capabilities Using Polynomial Approach
    Authors:
    Pawel Rozycki, Janusz Kolbusz,Roman Korostenskyi,Bogdan M. Wilamowski
    Book:
    Artificial Intelligence and Soft Computing. ICAISC 2016. Lecture Notes in Computer Science (rok: 2016, tom: 9692, strony: 136-147), Wydawca: Springer
    Status:
    Published

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