Autors: Trifonov, R. I., Pavlova, G. V., Tsochev, G. R., Yoshinov, R.
Title: Artificial neural network intelligent method for prediction
Keywords: neural network, prediction, algorithm

References

    Issue

    AIP Conference Proceedings, vol. 1872, issue 1, 2017, United Kingdom, ISBN: 978-073541552-2/doi: 10.1063/1.4996678

    Цитирания (Citation/s):
    1. Dahlan, I., Ling, N.W., Adsorption of acid violet 7 (AV7) dye using RHA-CFA adsorbent: Modeling, process analysis, and optimization, Separation Science and Technology, 2019, DOI: 10.1080/01496395.2019.1708115 - 2019 - в издания, индексирани в Scopus или Web of Science
    2. Fan Zhang, Yasir M. Fadul Mukhtar, Ben Liu, Jiajun Li, Application of ANN to predict the apparent viscosity of waxy crude oil, Volume 254, 2019, 115669, ISSN 0016-2361, https://doi.org/10.1016/j.fuel.2019.115669. (http://www.sciencedirect.com/science/article/pii/S00162361193 - 2019 - в издания, индексирани в Scopus или Web of Science
    3. AS Mahedy, AA Abdelsalam, RH Mohamed,Utilizing Neural Networks for Stocks Prices Prediction in Stocks Markets,I.J. Information Technology and Computer Science, 2020, 3, 1-7 Published Online June 2020 in MECS (http://www.mecs-press.org/) DOI: 10.5815/ijitcs.2020.03.01 - 2020 - от чужди автори в чужди издания, неиндексирани в Scopus или Web of Science
    4. (2021). A review of threat modelling approaches for APT-style attacks. Heliyon. 7. e05969. 10.1016/j.heliyon.2021.e05969. - 2021 - в издания, индексирани в Scopus или Web of Science
    5. Hu, ZhengWei & Li, Hui & Li, Yang & Li, XueZhen & Li, Peng. (2021). Vehicle Ethernet Flow Estimation Using Intelligent Methods. Journal of Physics: Conference Series. 1754. 012087. 10.1088/1742-6596/1754/1/012087. - 2021 - в издания, индексирани в Scopus или Web of Science
    6. Koprinkova-Hristova, P. (2021). Research on Artificial Neural Networks in Bulgarian Academy of Sciences. In Research in Computer Science in the Bulgarian Academy of Sciences (pp. 287-304). Springer, Cham. - 2021 - в издания, индексирани в Scopus или Web of Science
    7. Sarr, M.P. ,A. Thiam, B. Dieng, ANFIS and ANN models to predict heliostat tracking errors, Heliyon, Volume 9, Issue 1, 2023, e12804, ISSN 2405-8440, https://doi.org/10.1016/j.heliyon.2023.e12804. - 2023 - в издания, индексирани в Scopus или Web of Science
    8. Dahlan, I., Obi, C.C. & Poopathi, V. Predicting the adsorption capacity of organic dye using zirconium-based metal–organic framework: a comparative analysis of RSM and ANN-based models. Biomass Conv. Bioref. (2023). https://doi.org/10.1007/s13399-023-05012-z - 2023 - в издания, индексирани в Scopus или Web of Science
    9. Siva Sankara Rao Y, Mallikarjuna Rao K, Subba Rao V. Damping investigation for multi-Layered riveted cantilever beams. Journal of Vibration and Control. 2023;0(0). doi:10.1177/10775463231206876 - 2023 - в издания, индексирани в Scopus или Web of Science
    10. Luong, Thi Thu Huong, and Supattra Poeaim. "Multi-objective optimization of lignocellulolytic enzyme cocktail production from Pseudolagarobasidium acaciicola TDW-48 by artificial neural network-genetic algorithm (ANN-GA) strategy and its application in lignocellulose waste bioconversion." Biomass Conversion and Biorefinery (2024): 1-16. - 2024 - в издания, индексирани в Scopus или Web of Science
    11. Yustisio, D. ., Siswanah, E., & Tafrikan, M. (2024). Extreme Learning Machine and Multilayer Perceptron Methods for Predicting COVID-19. Sinkron : Jurnal Dan Penelitian Teknik Informatika, 8(4), 2298-2308. https://doi.org/10.33395/sinkron.v8i4.14029 - 2024 - от чужди автори в чужди издания, неиндексирани в Scopus или Web of Science
    12. Siva Sankara Rao, Yemineni, Kutchibotla Mallikarjuna Rao, and V. V. Subba Rao. "Damping investigation for multi-Layered riveted cantilever beams." Journal of Vibration and Control 30.17-18 (2024): 4131-4145. - 2024 - в издания, индексирани в Scopus или Web of Science
    13. Haruna, U. D., and M. Samuel. "An artificial neural network (ANN) model for predicting HIV infection among adolescents in Adamawa State." Savannah Journal of Science and Engineering Technology 2.3 (2024): 103-109. - 2024 - в издания, индексирани в Scopus или Web of Science

    Вид: публикация в международен форум, публикация в реферирано издание, индексирана в Scopus