Abstract: An unsupervised deep learning framework is proposed for solving 2-D electromagnetic inverse scattering problems (ISPs) with either full- or phaseless-data (PD), featuring good accuracy, ...
The LIM assumes the relevant dynamics can be represented as a linear system forced by stochastic noise (Hasselmann, 1988; Penland & Sardeshmukh, 1995), and written in the form of a linear stochastic ...
Abstract: For a multi-objective optimization problem, an inverse model approximates a mapping from the objective space to the decision space. Recently, the inverse model has been used in some ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results