Crosstalk modeling in high-speed transmission lines by multilayer perceptron neural networks
Sign Up to like & getrecommendations! Published in 2019 at "Neural Computing and Applications"
DOI: 10.1007/s00521-019-04252-3
Abstract: Signal degradation due to crosstalk-related issues has become increasingly important particularly in high-speed signal transmissions. Conventional analysis of crosstalk requires a full electromagnetic modeling of the signal transmission path along with a time-domain transient simulation… read more here.
Keywords: neural networks; transmission; multilayer perceptron; perceptron neural ... See more keywords
Design and implementation of a neighborhood search biogeography-based optimization trainer for classifying sonar dataset using multi-layer perceptron neural network
Sign Up to like & getrecommendations! Published in 2018 at "Analog Integrated Circuits and Signal Processing"
DOI: 10.1007/s10470-018-1366-3
Abstract: Multi-Layer Perceptron Neural Network (MLP NN) is one of the most applicable tools in solving complicated problems as well as classifying between target and non-target in sonar applications. In this paper, we use Biogeography-based Optimization… read more here.
Keywords: biogeography based; network; perceptron neural; multi layer ... See more keywords
Improving the Diagnosis of Liver Disease Using Multilayer Perceptron Neural Network and Boosted Decision Trees
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Medical and Biological Engineering"
DOI: 10.1007/s40846-017-0360-z
Abstract: Early detection of liver disease is never easy, though it is one of the most important diseases on earth. This study, thus, attempts to achieve efficient early detection through a Multilayer Perceptron Neural Network (MLPNN)… read more here.
Keywords: neural network; multilayer perceptron; perceptron neural; disease ... See more keywords
Empirical determination of optimal configuration for characteristics of a multilayer perceptron neural network in nonlinear regression
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Animal Science"
DOI: 10.16929/as/2020.2413.166
Abstract: In this paper, we determine an optimal configuration for characteristics of a multilayer perceptron neural network (MPL) in nonlinear regression for predicting crop yield. Monte Carlo simulation approach has been used to train several databases… read more here.
Keywords: characteristics multilayer; configuration; multilayer perceptron; perceptron neural ... See more keywords