Comparative study of artificial neural network versus parametric method in COVID-19 data analysis
Open Access
- 16 May 2022
- journal article
- research article
- Published by Elsevier in Results in Physics
- Vol. 38, 105613
Abstract
No abstract availableKeywords
This publication has 53 references indexed in Scilit:
- An accurate RBF-NN model for estimation of viscosity of nanofluidsJournal of Molecular Liquids, 2016
- Open channel junction velocity prediction by using a hybrid self-neuron adjustable artificial neural networkFlow Measurement and Instrumentation, 2016
- Prediction of thermal conductivity of various nanofluids using artificial neural networkInternational Communications in Heat and Mass Transfer, 2016
- Comparison of mathematical models for the dynamics of the Chernivtsi children diseaseMathematics and Computers in Simulation, 2016
- Artificial neural network approach for prediction of thermal behavior of nanofluids flowing through circular tubesPowder Technology, 2014
- Modeling the influence of a process control agent on the properties of metal matrix composite powders using artificial neural networksPowder Technology, 2012
- Automatic recognition of oil reservoir models from well testing data by using multi-layer perceptron networksJournal of Petroleum Science and Engineering, 2011
- SOME RESULTS ON REVERSED HAZARD RATE ORDERINGCommunications in Statistics - Theory and Methods, 2001
- A new two-parameter lifetime distribution with bathtub shape or increasing failure rate functionStatistics & Probability Letters, 2000
- Uniform stochastic ordering and related inequalitiesCanadian Journal of Statistics, 1982