Projects funded by the NCN

Information on the principal investigator and host institution

Information of the project and the call

Keywords

Equipment

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Development of deep neural network learning methods

2017/27/B/ST6/02852

Keywords:

deep learning neural networks image processing

Descriptors:

  • ST6_7: Artificial intelligence, intelligent systems, multi-agent systems
  • ST6_11: Machine learning, statistical data processing and applications using signal processing (e.g. speech, image, video)

Panel:

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

Host institution :

Politechnika Częstochowska, Wydział Inżynierii Mechanicznej i Informatyki

woj. śląskie

Other projects carried out by the institution 

Principal investigator (from the host institution):

prof. Leszek Rutkowski 

Number of co-investigators in the project: 9

Call: OPUS 14 - announced on 2017-09-15

Amount awarded: 1 368 800 PLN

Project start date (Y-m-d): 2018-10-03

Project end date (Y-m-d): 2022-05-02

Project duration:: 43 months (the same as in the proposal)

Project status: Project settled

Project description

Download the project description in a pdf file

Note - project descriptions were prepared by the authors of the applications themselves and placed in the system in an unchanged form.

Equipment purchased [PL]

  1. komputery przenośne (40 000 PLN)
  2. Wydajny komputer obliczeniowy do symulacji głębokich sieci neuronowych (40 000 PLN)

Information in the final report

  • Publication in academic press/journals (10)
  • Articles in post-conference publications (16)
  1. Event-triggered impulsive synchronization of discrete-time coupled neural networks with stochastic perturbations and multiple delays
    Authors:
    Huiyuan Li, Jian-an Fang, Xiaofan Li, Leszek Rutkowski, Tingwen Huang
    Academic press:
    Neural Networks (rok: 2020, tom: 132, strony: 447-460), Wydawca: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.neunet.2020.09.012 - link to the publication
  2. On Training Deep Neural Networks Using a Streaming Approach
    Authors:
    Piotr Duda, Maciej Jaworski, Andrzej Cader, Lipo Wang
    Academic press:
    Journal of Artificial Intelligence and Soft Computing Research (rok: 2019, tom: 10 (1), strony: 15-26), Wydawca: Sciendo
    Status:
    Published
    DOI:
    10.2478/jaiscr-2020-0002 - link to the publication
  3. A novel method for speed training acceleration of recurrent neural networks
    Authors:
    Jarosław Bilskia, Leszek Rutkowski, Jacek Smoląga, Dacheng Tao
    Academic press:
    Information Sciences (rok: 2021, tom: 553, strony: 266-279), Wydawca: Elsevier
    Status:
    Published
    DOI:
    10.025 - link to the publication
  4. Exponential Stabilization for Hybrid Recurrent Neural Networks by Delayed Noises Rooted in Discrete Observations of State and Mode
    Authors:
    Lichao Feng, Jinde Cao, Jun Hu, Zhihui Wu, Leszek Rutkowski
    Academic press:
    Neural Processing Letters (rok: 2019, tom: 50, strony: 2797-2819), Wydawca: Springer
    Status:
    Published
    DOI:
    10.1007/s11063-019-10059-z - link to the publication
  5. Local Levenberg-Marquardt Algorithm for Learning Feedforward Neural Networks
    Authors:
    Jarosław Bilski, Bartosz Kowalczyk, Alina Marchlewska, Jacek M. Żurada
    Academic press:
    Journal of Artificial Intelligence and Soft Computing Research (rok: 2020, tom: 10 (4), strony: 299-316), Wydawca: Sciendo
    Status:
    Published
    DOI:
    10.2478/jaiscr-2020-0020 - link to the publication
  6. Dynamical and static multisynchronization analysis for coupled multistable memristive neural networks with hybrid control
    Authors:
    Xiaoxiao Lv, Jinde Cao, Leszek Rutkowski
    Academic press:
    Neural Networks (rok: 2021, tom: 143, strony: 515-524), Wydawca: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.neunet.2021.07.004 - link to the publication
  7. A New Approach to Descriptors Generation for Image Retrieval by Analyzing Activations of Deep Neural Network Layers
    Authors:
    Paweł Staszewski, Maciej Jaworski, Jinde Cao, Leszek Rutkowski
    Academic press:
    IEEE Transactions on Neural Networks and Learning Systems (rok: 2021, tom: (Early Access), strony: 45299), Wydawca: IEEE
    Status:
    Published
    DOI:
    10.1109/TNNLS.2021.3084633 - link to the publication
  8. Synchronization of Coupled Time-Delay Neural Networks With Mode-Dependent Average Dwell Time Switching
    Authors:
    Xinsong Yang, Yang Liu, Jinde Cao, Leszek Rutkowski
    Academic press:
    IEEE Transactions on Neural Networks and Learning Systems (rok: 2020, tom: 31 (12), strony: 5483-5496), Wydawca: IEEE
    Status:
    Published
    DOI:
    10.1109/TNNLS.2020.2968342 - link to the publication
  9. Synchronization of Switched Discrete-Time Neural Networks via Quantized Output Control With Actuator Fault
    Authors:
    Xinsong Yang, Xiaoxiao Wan, Cheng Zunshui, Jinde Cao, Yang Liu, Leszek Rutkowski
    Academic press:
    IEEE Transactions on Neural Networks and Learning Systems (rok: 2021, tom: 32 (9), strony: 4191-4201), Wydawca: IEEE
    Status:
    Published
    DOI:
    10.1109/TNNLS.2020.3017171 - link to the publication
  10. A Novel Fast Feedforward Neural Networks Training Algorithm
    Authors:
    Jarosław Bilski, Bartosz Kowalczyk, Andrzej Marjański, Michał Gandor, Jacek Zurada
    Academic press:
    Journal of Artificial Intelligence and Soft Computing Research (rok: 2021, tom: 11 (4), strony: 287-306), Wydawca: Sciendo
    Status:
    Published
    DOI:
    10.2478/jaiscr-2021-0017 - link to the publication
  1. Concept Drift Detection Using Autoencoders in Data Streams Processing
    Authors:
    Maciej Jaworski, Leszek Rutkowski, Plamen Angelov
    Conference:
    International Conference on Artificial Intelligence and Soft Computing (rok: 2020, ), Wydawca: Springer, Cham
    Data:
    konferencja 12.10.2020-14.10.2020
    Status:
    Published
  2. Fully Convolutional Network for Removing DCT Artefacts From Images
    Authors:
    Patryk Najgebauer, Rafał Scherer, Leszek Rutkowski
    Conference:
    International Joint Conference on Neural Networks (rok: 2020, ), Wydawca: IEEE
    Data:
    konferencja 19.07.2020-24.07.2020
    Status:
    Published
  3. Microscopic Sample Segmentation by Fully Convolutional Network for Parasite Detection
    Authors:
    Patryk Najgebauer, Rafał Grycuk, Leszek Rutkowski, Rafał Scherer, Agnieszka Siwocha
    Conference:
    International Conference on Artificial Intelligence and Soft Computing (rok: 2019, ), Wydawca: Springer, Cham
    Data:
    konferencja 16.06.2019-20.06.2019
    Status:
    Published
  4. On Proper Designing of Deep Structures for Image Classification
    Authors:
    Piotr Woldan, Paweł Staszewski, Leszek Rutkowski, Konrad Grzanek
    Conference:
    International Conference on Artificial Intelligence and Soft Computing (rok: 2019, ), Wydawca: Springer
    Data:
    konferencja 16.06.2019-20.06.2019
    Status:
    Published
  5. Resource-Aware Data Stream Mining Using the Restricted Boltzmann Machine
    Authors:
    Maciej Jaworski, Leszek Rutkowski, Piotr Duda, Andrzej Cader
    Conference:
    International Conference on Artificial Intelligence and Soft Computing (rok: 2019, ), Wydawca: Springer, Cham
    Data:
    konferencja 16.06.2019-20.06.2019
    Status:
    Published
  6. A New Algorithm with a Line Search for Feedforward Neural Networks Training
    Authors:
    Jarosław Bilski, Bartosz Kowalczyk, Jacek M. Żurada
    Conference:
    International Conference on Artificial Intelligence and Soft Computing (rok: 2020, ), Wydawca: Springer, Cham
    Data:
    konferencja 12.10.2020-14.10.2020
    Status:
    Published
  7. Explainable Cluster-Based Rules Generation for Image Retrieval and Classification
    Authors:
    Paweł Staszewski, Maciej Jaworski, Leszek Rutkowski, Dacheng Tao
    Conference:
    International Conference on Artificial Intelligence and Soft Computing (rok: 2020, ), Wydawca: Springer, Cham
    Data:
    konferencja 12.10.2020-14.10.2020
    Status:
    Published
  8. On Handling Missing Values in Data Stream Mining Algorithms Based on the Restricted Boltzmann Machine
    Authors:
    Maciej Jaworski, Piotr Duda, Danuta Rutkowska, Leszek Rutkowski
    Conference:
    International Conference on Neural Information Processing (rok: 2019, ), Wydawca: Springer, Cham
    Data:
    konferencja 12.12.2019-15.12.2019
    Status:
    Published
  9. Visual Hybrid Recommendation Systems Based on the Content-Based Filtering
    Authors:
    Piotr Woldan, Piotr Duda, Yoichi Hayashi
    Conference:
    International Conference on Artificial Intelligence and Soft Computing (rok: 2020, ), Wydawca: Springer, Cham
    Data:
    konferencja 12.10.2020-14.10.2020
    Status:
    Published
  10. A New Variant of the GQR Algorithm for Feedforward Neural Networks Training
    Authors:
    Jarosław Bilski, Bartosz Kowalczyk
    Conference:
    International Conference on Artificial Intelligence and Soft Computing (rok: 2021, ), Wydawca: Springer, Cham
    Data:
    konferencja 20.06.2021-24.06.2021
    Status:
    Published
  11. Fast Conjugate Gradient Algorithm for Feedforward Neural Networks
    Authors:
    Jarosław Bilski, Jacek Smoląg
    Conference:
    International Conference on Artificial Intelligence and Soft Computing (rok: 2020, ), Wydawca: Springer, Cham
    Data:
    konferencja 12.10.2020-14.10.2020
    Status:
    Published
  12. Modifications of the Givens Training Algorithm for Artificial Neural Networks
    Authors:
    Jarosław Bilski, Bartosz Kowalczyk, Andrzej Cader
    Conference:
    International Conference on Artificial Intelligence and Soft Computing (rok: 2019, ), Wydawca: Springer, Cham
    Data:
    konferencja 16.06.2019-20.06.2019
    Status:
    Published
  13. Monitoring of Changes in Data Stream Distribution Using Convolutional Restricted Boltzmann Machines
    Authors:
    Maciej Jaworski, Leszek Rutkowski, Paweł Staszewski, Patryk Najgebauer
    Conference:
    International Conference on Artificial Intelligence and Soft Computing (rok: 2021, ), Wydawca: Springer, Cham
    Data:
    konferencja 20.06.2021-24.06.2021
    Status:
    Published
  14. The Streaming Approach to Training Restricted Boltzmann Machines
    Authors:
    Piotr Duda, Leszek Rutkowski, Piotr Woldan, Patryk Najgebauer
    Conference:
    International Conference on Artificial Intelligence and Soft Computing (rok: 2021, ), Wydawca: Springer, Cham
    Data:
    konferencja 20.06.2021-24.06.2021
    Status:
    Published
  15. Modification of Learning Feedforward Neural Networks with the BP Method
    Authors:
    Jarosław Bilski, Jacek Smoląg, Patryk Najgebauer
    Conference:
    International Conference on Artificial Intelligence and Soft Computing (rok: 2021, ), Wydawca: Springer, Cham
    Data:
    konferencja 20.06.2021-24.06.2021
    Status:
    Published
  16. On a Streaming Approach for Training Denoising Auto-encoders
    Authors:
    Piotr Duda, Lipo Wang
    Conference:
    International Conference of Artificial Intelligence and Soft Computing (rok: 2020, ), Wydawca: Springer, Cham
    Data:
    konferencja 12.10.2020-14.10.2020
    Status:
    Published

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