TY - JOUR AU - N. V. Zamyatin AU - G. V. Smirnov AU - V. I. Makovkin PY - 2022/09/30 Y2 - 2024/03/29 TI - Neural Network-Based Sensor Calibration for Micro and Nanoelectronics Applications JF - Russian Journal of Cybernetics JA - УК VL - 3 IS - 3 SE - Papers DO - 10.51790/2712-9942-2022-3-3-8 UR - https://en.jcyb.ru/nisii_tech/article/view/145 AB - we studied multilayer neural network-enabled calibration of optical gas sensor systems. Such systems use fiberoptic converters so their properties can be nonlinear and nonmonotonic. We used real-world data to show the proposed calibration method’s applicability. The neural network-based approach offers a higher quality of the calibration, and a multilayer neural network doe not need a training dataset to estimate the optical properties. ER -