Identification of autism spectrum disorder based on short-term spontaneous hemodynamic fluctuations using deep learning in a multi-layer neural network
Sign Up to like & getrecommendations! Published in 2021 at "Clinical Neurophysiology"
DOI: 10.1016/j.clinph.2020.11.037
Abstract: OBJECTIVE To classify children with autism spectrum disorder (ASD) and typical development (TD) using short-term spontaneous hemodynamic fluctuations and to explore the abnormality of inferior frontal gyrus and temporal lobe in ASD. METHODS 25 ASD… read more here.
Keywords: network; multi layer; layer neural; neural network ... See more keywords
Improved learning algorithm for two-layer neural networks for identification of nonlinear systems
Sign Up to like & getrecommendations! Published in 2019 at "Neurocomputing"
DOI: 10.1016/j.neucom.2018.10.008
Abstract: Abstract This study is concerned with the asymptotic identification of nonlinear systems based on Lyapunov theory and two-layer neural networks. An improved identification model enhanced with a feedback term and a novel adaptation law for… read more here.
Keywords: neural networks; layer neural; identification; nonlinear systems ... See more keywords
Operation Scheme of Multi-Layer Neural Networks Using NAND Flash Memory as High-Density Synaptic Devices
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Journal of the Electron Devices Society"
DOI: 10.1109/jeds.2019.2947316
Abstract: We propose a designing of multi-layer neural networks using 2D NAND flash memory cell as a high-density and reliable synaptic device. Our operation scheme eliminates the waste of NAND flash cells and allows analogue input… read more here.
Keywords: layer neural; flash memory; multi layer; synaptic devices ... See more keywords
A Single Layer Neural Network Implemented by a $4\times 4$ MZI-Based Optical Processor
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Photonics Journal"
DOI: 10.1109/jphot.2019.2952562
Abstract: Implementing any linear transformation matrix through the optical channels of an on-chip reconfigurable multiport interferometer has been emerging as a promising technique for various fields of study, such as information processing and optical communication systems.… read more here.
Keywords: layer neural; neural network; processor; single layer ... See more keywords
Guaranteed Recovery of One-Hidden-Layer Neural Networks via Cross Entropy
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Signal Processing"
DOI: 10.1109/tsp.2020.2993153
Abstract: We study model recovery for data classification, where the training labels are generated from a one-hidden-layer neural network with sigmoid activations, also known as a single-layer feedforward network, and the goal is to recover the… read more here.
Keywords: layer neural; hidden layer; layer; cross entropy ... See more keywords
Evolutionary computing in operational research for two-layer neural networks
Sign Up to like & getrecommendations! Published in 2017 at "Information Systems Management"
DOI: 10.22630/isim.2017.6.2.11
Abstract: Considering the non-linear characteristics of the a ctiv tion functions, the entire task is multidimensional and non-linear with a mult imodal target function. Implementing evolutionary computing in the multimodal op timization tasks gives developers new… read more here.
Keywords: research two; operational research; computing operational; layer neural ... See more keywords
Machine-Learning-Based Diabetes Mellitus Risk Prediction Using Multi-Layer Neural Network No-Prop Algorithm
Sign Up to like & getrecommendations! Published in 2023 at "Diagnostics"
DOI: 10.3390/diagnostics13040723
Abstract: Over the past few decades, the prevalence of chronic illnesses in humans associated with high blood sugar has dramatically increased. Such a disease is referred to medically as diabetes mellitus. Diabetes mellitus can be categorized… read more here.
Keywords: neural network; multi layer; layer neural; diabetes mellitus ... See more keywords