Experimental and numerical study of the forward and inverse models of an MR gel damper using a GA-optimized neural network
Sign Up to like & getrecommendations! Published in 2023 at "Journal of Intelligent Material Systems and Structures"
DOI: 10.1177/1045389x231168774
Abstract: In this paper, we present a series of experimental and numerical studies on the performance and modeling of a developed magnetorheological gel (MRG) damper. A bi-directional shear-type damper was designed and fabricated. The MRG damper,… read more here.
Keywords: neural network; network; inverse models; damper ... See more keywords
Efficient estimation of subdiffusive optical parameters in real time from spatially resolved reflectance by artificial neural networks.
Sign Up to like & getrecommendations! Published in 2018 at "Optics letters"
DOI: 10.1364/ol.43.002901
Abstract: Subdiffusive reflectance captured at short source-detector separations provides increased sensitivity to the scattering phase function and hence allows superficial probing of the tissue ultrastructure. Consequently, estimation of subdiffusive optical parameters has been the subject of… read more here.
Keywords: lut inverse; estimation subdiffusive; inverse models; reflectance ... See more keywords