To achieve the intended objective, the initial step involves the utilization of the distorted Born iterative technique, employing a suitable initial guess, and a proper generalized Tikhonov ...

Here, several values of q are investigated in inverse problems, using q < 1 and q > 1. Two standard regularization techniques are recovered for special q-values: (i) q = 2 is the well known Tikhonov ...

This paper introduces the potential of intelligent Bayesian regularization backpropagation neuro computing (IBRBNC) for the precise estimation of state features of underwater passive object. The ...

In this paper, we propose a novel SSDA learning framework called semantic regularization learning (SERL), which captures the target semantic information from multiple perspectives of regularization ...

Nature Research Intelligence Topics enable transformational understanding and discovery in research by categorising any document into meaningful, accessible topics. Read this blog to understand ...

The disordered configurations require lower accuracy (large σ). More rigorously, one can think about the adjustment of the regularization parameters in terms of giving more weight in the fit to ...

In this paper we introduce the regularization method solving Equation (1) with A being a linear, closed, densely defined unbounded operator. At the same time, an application is given to the weak ...

The data used in the sections 3.1–3.3 are without additive noise. Using an approximation of L1-Norm as an L2-norm, the linear problem to be solved is then simplified in a way that it can be seen as a ...