Application of a modified hopfield neural network to noisy magnetotelluric data
И. В. Попова, Yasuo Ogawa · Izvestiya Physics of the Solid Earth · 2007
A new approach is presented for processing noisy magnetotelluric time series, based on a neural network algorithm. This approach structures data and removes noise and distortions from them for the subsequent correct estimation of magnetotelluric response functions. The method was tested on real data contaminated by anthropogenic noise.