The Zhang neural network (ZNN) has recently realized remarkable success in solving time-
varying problems. Harmonic noise widely exists in industrial applications and can severely …

Erratic noise often has high amplitudes and a non‐Gaussian distribution. Least‐squares–
based approaches therefore are not optimal. This can be handled better with non–least …

Harmonic noises widely exist in industrial fields and always affect the computational
accuracy of neural network models. The existing original adaptive zeroing neural network …

As we know, harmonic noises widely exist in industrial fields and have a crucial impact on
the computational accuracy of the zeroing neural network (ZNN) model. For tackling this …

Vibroseis acquisition, which uses slip sweep instead of traditional flip-flop acquisition, could
significantly reduce cycle time and increase productivity. However, the vibroseis system …

The most common noise in geophysical data is probably interference from powerlines. This
noise manifests itself as a sinusoidal signal oscillating at the fundamental 50 or 60 Hz …

Periodic noise is a well-known problem in seismic exploration, caused by power lines, pump
jacks, engine operation, or other interferences. It contaminates seismic data and affects …

The quadratic program (QP) with equality constraint is widely involved in science and
engineering fields. Numerous solutions to the equality-constrained QP (ECQP) have been …

Strong and weak reflection separation is crucial for seismic interpretation. The conventional
strong and weak reflection separation method (CRSM) faces great challenges, due to the …

The conventional seismic strong and weak reflection separation method encounters
significant challenges due to the complexity of seismic data, the horizon time (or depth) …