A Study of Input Variable Selection to Artificial Neural Network for Predicting Hospital Inpatient Flows

Variable Selection ◽

Hospital Inpatient ◽

Performance of smoothly clipped absolute deviation as a variable selection method in the artificial neural network‐based QSAR studies

Journal of Chemometrics ◽

10.1002/cem.3338 ◽

2021 ◽

Author(s):

Zeinab Mozafari ◽

Mansour Arab Chamjangali ◽

Mohammad Arashi ◽

Nasser Goudarzi

Keyword(s):

Neural Network ◽

Variable Selection ◽

Selection Method ◽

Absolute Deviation ◽

Qsar Studies ◽

Variable Selection Method ◽

Smoothly Clipped Absolute Deviation ◽

Development of a variable selection method for soft sensor using artificial neural network and nonnegative garrote

Journal of Process Control ◽

10.1016/j.jprocont.2014.05.010 ◽

2014 ◽

Vol 24 (7) ◽

pp. 1068-1075 ◽

Cited By ~ 25

Author(s):

Kai Sun ◽

Jialin Liu ◽

Jia-Lin Kang ◽

Shi-Shang Jang ◽

David Shan-Hill Wong ◽

...

Keyword(s):

Neural Network ◽

Variable Selection ◽

Selection Method ◽

Soft Sensor ◽

Variable Selection Method ◽

Artificial Neural ◽

Nonnegative Garrote

Counter-propagation artificial neural network as a tool for the independent variable selection: Structure-mutagenicity study on aromatic amines

Molecular Diversity ◽

10.1023/b:modi.0000047502.66802.3d ◽

2004 ◽

Vol 8 (4) ◽

pp. 371-377 ◽

Cited By ~ 13

Author(s):

Aneta Jezierska ◽

Marjan Vračko ◽

Subhash C. Basak

Keyword(s):

Neural Network ◽

Variable Selection ◽

Aromatic Amines ◽

Independent Variable ◽

2016 13th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON) ◽

A fast variable selection for nonnegative garrote-based artificial neural network

10.1109/ecticon.2016.7561438 ◽

2016 ◽

Author(s):

Chaiyasit Waleesuksan ◽

Sarawan Wongsa

Keyword(s):

Neural Network ◽

Variable Selection ◽

Fast Variable ◽

Selection For ◽

Artificial Neural ◽

Nonnegative Garrote

A comprehensive comparison of four input variable selection methods for artificial neural network flow forecasting models

Journal of Hydrology ◽

10.1016/j.jhydrol.2019.124299 ◽

2020 ◽

Vol 583 ◽

pp. 124299 ◽

Cited By ~ 6

Author(s):

E. Snieder ◽

R. Shakir ◽

U.T. Khan

Keyword(s):

Neural Network ◽

Variable Selection ◽

Network Flow ◽

Selection Methods ◽

Forecasting Models ◽

Comprehensive Comparison ◽

Application of Genetic Algorithm as a Variable Selection in Partial Least Square and Artificial Neural Network for the Simultaneous Analysis of Sacubitril and Valsartan in their Recently Approved Pharmaceutical Preparation

Analytical Chemistry Letters ◽

10.1080/22297928.2018.1438312 ◽

2018 ◽

Vol 8 (3) ◽

pp. 287-296 ◽

Cited By ~ 1

Author(s):

Khalid A.M. Attia ◽

Mohammed W.I. Nassar ◽

Ahmed El-Olemy ◽

Sherif Ramzy

Keyword(s):

Neural Network ◽

Genetic Algorithm ◽

Variable Selection ◽

Pharmaceutical Preparation ◽

Partial Least Square ◽

Simultaneous Analysis ◽

Least Square ◽

Computer Aided Chemical Engineering - 24th European Symposium on Computer Aided Process Engineering ◽

Soft Sensor Development with Nonlinear Variable Selection Using Nonnegative Garrote and Artificial Neural Network

10.1016/b978-0-444-63456-6.50148-4 ◽

2014 ◽

pp. 883-888 ◽

Cited By ~ 1

Author(s):

Kai Sun ◽

JiaLin Liu ◽

Jia-Lin Kang ◽

Shi-Shang Jang ◽

David Shan-Hill Wong ◽

...

Keyword(s):

Neural Network ◽

Variable Selection ◽

Soft Sensor ◽

Sensor Development ◽

Artificial Neural ◽

Nonnegative Garrote

Improved PMI-based input variable selection approach for artificial neural network and other data driven environmental and water resource models

Environmental Modelling & Software ◽

10.1016/j.envsoft.2014.11.028 ◽

2015 ◽

Vol 65 ◽

pp. 15-29 ◽

Cited By ~ 41

Author(s):

Xuyuan Li ◽

Holger R. Maier ◽

Aaron C. Zecchin

Keyword(s):

Neural Network ◽

Variable Selection ◽

Water Resource ◽

Data Driven ◽

Selection Approach ◽

An Input Variable Selection Method for the Artificial Neural Network of Shear Stiffness of Worsted Fabrics

Statistical Analysis and Data Mining The ASA Data Science Journal ◽

10.1002/sam.10020 ◽

2009 ◽

Vol 1 (5) ◽

pp. 287-295 ◽

Cited By ~ 2

Author(s):

Ting Chen ◽

Chong Zhang ◽

Xia Chen ◽

Liqing Li

Keyword(s):

Neural Network ◽

Variable Selection ◽

Shear Stiffness ◽

Selection Method ◽

Variable Selection Method ◽

Simplifying artificial neural network models of river basin behaviour by an automated procedure for input variable selection

Engineering Applications of Artificial Intelligence ◽

10.1016/j.engappai.2015.01.001 ◽

2015 ◽

Vol 40 ◽

pp. 47-61 ◽

Cited By ~ 13

Author(s):

Guilherme G. Oliveira ◽

Olavo C. Pedrollo ◽

Nilza M.R. Castro

Keyword(s):

Neural Network ◽

Variable Selection ◽

River Basin ◽

Network Models ◽

Neural Network Models ◽

Artificial Neural ◽

Artificial Neural Network Models