Statistical Mechanics of Deep Linear Neural Networks: The Backpropagating Kernel Renormalization
Sign Up to like & getrecommendations! Published in 2021 at "Physical Review X"
DOI: 10.1103/physrevx.11.031059
Abstract: The groundbreaking success of deep learning in many real-world tasks has triggered an intense effort to understand theoretically the power and limitations of deep learning in the training and generalization of complex tasks, so far… read more here.
Keywords: deep linear; neural networks; linear neural; statistical mechanics ... See more keywords
An adaptive linear neural network with least mean M-estimate weight updating rule employed for harmonics identification and power quality monitoring
Sign Up to like & getrecommendations! Published in 2018 at "Transactions of the Institute of Measurement and Control"
DOI: 10.1177/0142331217695402
Abstract: This paper describes a combined adaptive linear neural network and least mean M-estimate (ADALINE-LMM) algorithm for estimating the amplitude and phase of the individual harmonic contained in a distorted power system current signal. The weight… read more here.
Keywords: neural network; adaptive linear; power; harmonics ... See more keywords