Application of artificial intelligence algorithm in mathematical modelling and solving

[1] V Smirnov, D Volchenkov. Five Years of Phase Space Dynamics of the Standard & Poor's 500[J]. Applied Mathematics and Nonlinear Sciences, 2019, 4(1):203–216. SmirnovV VolchenkovD Five Years of Phase Space Dynamics of the Standard & Poor's 500[J] Applied Mathematics and Nonlinear Sciences 2019 4 1 203 216 Search in Google Scholar

[2] Koca I, Yaprakdal P. A new approach for nuclear family model with fractional order Caputo derivative[J]. Applied Mathematics and Nonlinear Sciences, 2020, 5(1):393–404. KocaI YaprakdalP A new approach for nuclear family model with fractional order Caputo derivative[J] Applied Mathematics and Nonlinear Sciences 2020 5 1 393 404 Search in Google Scholar

[3] Y Mohamadou, Halidou A, Kapen P T. A review of mathematical modeling, artificial intelligence and datasets used in the study, prediction and management of COVID-19[J]. Applied Intelligence, 2020, 50(11):3913–3925. MohamadouY HalidouA KapenP T A review of mathematical modeling, artificial intelligence and datasets used in the study, prediction and management of COVID-19[J] Applied Intelligence 2020 50 11 3913 3925 Search in Google Scholar

[4] Chen Y, Yang Y, Liu C, et al. A hybrid application algorithm based on the support vector machine and artificial intelligence: An example of electric load forecasting[J]. Applied Mathematical Modelling, 2015, 39(9):2617–2632. ChenY YangY LiuC A hybrid application algorithm based on the support vector machine and artificial intelligence: An example of electric load forecasting[J] Applied Mathematical Modelling 2015 39 9 2617 2632 Search in Google Scholar

[5] Hetmaniok E, Slota D, Zielonka A. Restoration of the cooling conditions in a three-dimensional continuous casting process using artificial intelligence algorithms[J]. Applied Mathematical Modelling, 2015, 39(16):4797–4807. HetmaniokE SlotaD ZielonkaA Restoration of the cooling conditions in a three-dimensional continuous casting process using artificial intelligence algorithms[J] Applied Mathematical Modelling 2015 39 16 4797 4807 Search in Google Scholar

[6] Jidong, Yang, Jian, et al. Modeling Crack Deterioration of Flexible Pavements: Comparison of Recurrent Markov Chains and Artificial Neural Networks[J]. Transportation Research Record, 2018, 1974(1):18–25. Jidong Yang Jian Modeling Crack Deterioration of Flexible Pavements: Comparison of Recurrent Markov Chains and Artificial Neural Networks[J] Transportation Research Record 2018 1974 1 18 25 Search in Google Scholar

[7] Taghinezhad E, Kaveh M, Jahanbakhshi A, et al. Use of artificial intelligence for the estimation of effective moisture diffusivity, specific energy consumption, color and shrinkage in quince drying[J]. Journal of Food Process Engineering, 2020, 43(4). TaghinezhadE KavehM JahanbakhshiA Use of artificial intelligence for the estimation of effective moisture diffusivity, specific energy consumption, color and shrinkage in quince drying[J] Journal of Food Process Engineering 2020 43 4 Search in Google Scholar

[8] Lv Z Y, Shen H. Artificial intelligence with fuzzy logic system for learning management evaluation in higher educational systems[J]. Journal of Intelligent and Fuzzy Systems, 2020, 40(8):1–11. LvZ Y ShenH Artificial intelligence with fuzzy logic system for learning management evaluation in higher educational systems[J] Journal of Intelligent and Fuzzy Systems 2020 40 8 1 11 Search in Google Scholar

[9] Arutyunov V V. Application of artificial intelligence methods in solving information security problems: effectiveness and relevance of research results of Russian scientists[J]. Scientific and Technical Libraries, 2021(11):105–116. ArutyunovV V Application of artificial intelligence methods in solving information security problems: effectiveness and relevance of research results of Russian scientists[J] Scientific and Technical Libraries 2021 11 105 116 Search in Google Scholar

[10] Lisitsyn A N, Zadorozhnaya N M. Adaptive Wind Turbine PID Controller Tuner Algorithm with Elements of Artificial Intelligence - ScienceDirect[J]. Procedia Computer Science, 2019, 150(C):591–596. LisitsynA N ZadorozhnayaN M Adaptive Wind Turbine PID Controller Tuner Algorithm with Elements of Artificial Intelligence - ScienceDirect[J] Procedia Computer Science 2019 150 (C): 591 596 Search in Google Scholar

[11] Yasnitsky L N, Dumler A A, Cherepanov F M. The capabilities of artificial intelligence to simulate the emergence and development of diseases, optimize prevention and treatment thereof, and identify new medical knowledge[J]. Journal of Pharmaceutical Sciences and Research, 2018, 10(9):2192–2200. YasnitskyL N DumlerA A CherepanovF M The capabilities of artificial intelligence to simulate the emergence and development of diseases, optimize prevention and treatment thereof, and identify new medical knowledge[J] Journal of Pharmaceutical Sciences and Research 2018 10 9 2192 2200 Search in Google Scholar

[12] Zkoak V. Estimation of Anatolian Men's Helix, Tragus and Lobule Anatomical Points Using Artificial Neural Networks Pattern Completion[J]. Turkish Studies - Social Sciences, 2020, 15(7):215–228. ZkoakV Estimation of Anatolian Men's Helix, Tragus and Lobule Anatomical Points Using Artificial Neural Networks Pattern Completion[J] Turkish Studies - Social Sciences 2020 15 7 215 228 Search in Google Scholar