Autors: Iman Abouhassan., Nikola Kasabov., Popov, G. I., Trifonov, R. I.
Title: Why Use Evolving Neuro-Fuzzy and Spiking Neural Networks for incremental and explainable learning of time series? A case study on predictive modelling of trade imports and outlier detection
Keywords: Learning systems , Biological system modeling , Oils , Time



    IEEE 11th International Conference on Intelligent Systems (IS), Warsaw, pp. 1-7, 2022, Poland, doi: 10.1109/IS571182022.10019673., ISBN:978-1-6654-5656-2

    Цитирания (Citation/s):
    1. Lysenko, S.; Bobrovnikova, K.; Kharchenko, V.; Savenko, O. IoT Multi-Vector Cyberattack Detection Based on Machine Learning Algorithms: Traffic Features Analysis, Experiments, and Efficiency. Algorithms 2022, 15, 239. - 2022 - в издания, индексирани в Scopus или Web of Science
    2. R. Romansky, "Formalization and Investigation of Parallel Processes Dispatching," 2022 International Conference on Information Technologies (InfoTech), Varna, Bulgaria, 2022, pp. 1-4, doi: 10.1109/InfoTech55606.2022.9897104. - 2022 - в издания, индексирани в Scopus или Web of Science

    Вид: публикация в международен форум, публикация в реферирано издание