Automatic selection of hidden neurons and weights in neural networks using grey wolf optimizer based on a hybrid encoding scheme
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of Machine Learning and Cybernetics"
DOI: 10.1007/s13042-018-00913-2
Abstract: In neural networks, finding optimal values for the number of hidden neurons and connection weights simultaneously is considered a challenging task. This is because altering the hidden neurons substantially impacts the entire structure of a… read more here.
Keywords: hybrid encoding; encoding scheme; hidden neurons; neural networks ... See more keywords
Noise-modulated neural networks as an application of stochastic resonance
Sign Up to like & getrecommendations! Published in 2018 at "Neurocomputing"
DOI: 10.1016/j.neucom.2016.12.111
Abstract: Stochastic resonance (SR) is a phenomenon by which the input signal of a nonlinear system, with magnitude too small to affect the output, becomes observable by adding a non-zero level of noise to the system.… read more here.
Keywords: system; neural networks; hidden units; stochastic resonance ... See more keywords