Prediction and identification of physical systems by means of Physically-Guided Neural Networks with meaningful internal layers
Sign Up to like & getrecommendations! Published in 2021 at "Computer Methods in Applied Mechanics and Engineering"
DOI: 10.1016/j.cma.2021.113816
Abstract: Abstract Substitution of well-grounded theoretical models by data-driven predictions is not as simple in engineering and sciences as it is in social and economic fields. Scientific problems suffer many times from paucity of data, while… read more here.
Keywords: physically based; system; guided neural; neural networks ... See more keywords
Search for rogue waves in Bose-Einstein condensates via a theory-guided neural network.
Sign Up to like & getrecommendations! Published in 2022 at "Physical review. E"
DOI: 10.1103/physreve.106.025305
Abstract: An important and incompletely answered question is whether machine learning methods can be used to discover the excitation of rogue waves (RWs) in nonlinear systems, especially their dynamic properties and phase transitions. In this work,… read more here.
Keywords: theory; neural network; theory guided; rogue waves ... See more keywords
A Guided Neural Network Approach to Predict Early Readmission of Diabetic Patients
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3275086
Abstract: Diabetes is a major chronic health problem affecting millions globally. Effective diabetes management can reduce the risk of hospital readmission and the associated financial losses for both the healthcare system and insurance companies. Hospital readmission… read more here.
Keywords: neural network; network approach; approach predict; readmission ... See more keywords