Autors: Dimitrov, L. V., Nikolic V., Milovancevic M., Tomov, P. K., Dimov A., Spasov K. B.
Title: Saturation magnetization parameters by adaptive neuro-fuzzy technique
Keywords: ANFISN, anomagnetite, Saturation magnetization, Variable sel

Abstract: The method of ANFIS (adaptive neuro fuzzy inference system)was applied to the data resulting from these measurements. The ANFIS process for variable selection was implemented in order to detect the predominant variables affecting the saturation magnetization prediction. This process includes several ways to discover a subset of the total set of recorded parameters, showing good predictive capability. The correlation of the involved parameters with the growth process was examined by employing the central composite design method through designating set up experiments that will determine the interaction of the variables. The vibrating sample magnetometer (VSM)was used to confirm the statistical analysis. The ANFIS network was used to perform a variable search. Then, it was used to determine how 4 parameters (pH, Temperature (∘C), Time (min), Alkali rate of addition (mL.s−1))influence saturation magnetization prediction. The results indicated that pH is the most influential to sugarcane g

References

    Issue

    Physica A: Statistical Mechanics and its Applications, 2019, Ukraine, ISBN ISSN: 03784371

    Цитирания (Citation/s):
    1. Velichkova, R., Simova, I., Pushkarov, M., (...), Ivanov, I., Angelova, R., Production of Biochar From Wheat Straw With Muffle Furnace and Flow Reactor, 2022 8th International Conference on Energy Efficiency and Agricultural Engineering, EE and AE 2022 - Proceedings - 2022 - в издания, индексирани в Scopus или Web of Science

    Вид: пленарен доклад в международен форум, публикация в издание с импакт фактор, публикация в реферирано издание, индексирана в Scopus