MLA
Gorbachenko, Vladimir, and Konstantin Savenkov. "Improving Algorithms for Learning Radial Basic Functions Networks to Solve the Boundary Value Problems." Avatar-Based Control, Estimation, Communications, and Development of Neuron Multi-Functional Technology Platforms, edited by Vardan Mkrttchian, et al., IGI Global, 2020, pp. 66-106. https://doi.org/10.4018/978-1-7998-1581-5.ch004
APA
Gorbachenko, V. & Savenkov, K. (2020). Improving Algorithms for Learning Radial Basic Functions Networks to Solve the Boundary Value Problems. In V. Mkrttchian, E. Aleshina, & L. Gamidullaeva (Eds.), Avatar-Based Control, Estimation, Communications, and Development of Neuron Multi-Functional Technology Platforms (pp. 66-106). IGI Global. https://doi.org/10.4018/978-1-7998-1581-5.ch004
Chicago
Gorbachenko, Vladimir, and Konstantin Savenkov. "Improving Algorithms for Learning Radial Basic Functions Networks to Solve the Boundary Value Problems." In Avatar-Based Control, Estimation, Communications, and Development of Neuron Multi-Functional Technology Platforms, edited by Vardan Mkrttchian, Ekaterina Aleshina, and Leyla Gamidullaeva, 66-106. Hershey, PA: IGI Global, 2020. https://doi.org/10.4018/978-1-7998-1581-5.ch004
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