Optimization of identifying insulinaemic pharmacokinetic parameters using artificial neural network
Background and Objective: The identification of insulinaemic pharmacokinetic parameters using the least-squares criterion approach is easily influenced by outlying data due to its sensitivity. Furthermore, the least-squares criterion has a tendency to overfit and produce incorrect results. Hence, th...
Published in: | Computer Methods and Programs in Biomedicine |
---|---|
Main Author: | 2-s2.0-85159168327 |
Format: | Article |
Language: | English |
Published: |
Elsevier Ireland Ltd
2023
|
Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85159168327&doi=10.1016%2fj.cmpb.2023.107566&partnerID=40&md5=09177167afbdb77af994e04ae5093889 |
Similar Items
-
Analyzing geometric parameters in inclined enclosures filled with magnetic nanofluid using artificial neural networks
by: 2-s2.0-85141927035
Published: (2023) -
Predicting fraudulent financial reporting using artificial neural network
by: 2-s2.0-85019490600
Published: (2017) -
Eye-to-text communication via advanced optimization techniques and artificial neural networks: Review
by: Abbas M.R.; Mutlag A.H.; Gharghan S.K.; Jailani R.
Published: (2024) -
Prediction of Electromagnetic Properties Using Artificial Neural Networks for Oil Recovery Factors
by: 2-s2.0-85152886016
Published: (2023) -
Profiling of myocardial infarction history from electrocardiogram using artificial neural network
by: 2-s2.0-85054391989
Published: (2018)