Paper Info
Title
Protocol for developing ANN models and its application to the assessment of the quality of the ANN model development process in drinking water quality modelling.
Abstract
The application of Artificial Neural Networks (ANNs) in the field of environmental and water resources modelling has become increasingly popular since early 1990s. Despite the recognition of the need for a consistent approach to the development of ANN models and the importance of providing adequate details of the model development process, there is no systematic protocol for the development and documentation of ANN models. In order to address this shortcoming, such a protocol is introduced in this paper. In addition, the protocol is used to critically review the quality of the ANN model development and reporting processes employed in 81 journal papers since 2000 in which ANNs have been used for drinking water quality modelling. The results show that model architecture selection is the best implemented step, while greater focus should be given to input selection considering input independence and model validation considering replicative and structural validity.
Year
DOI
Venue
2014
10.1016/j.envsoft.2013.12.016
Environmental Modelling & Software
Keywords
Field
DocType
Artificial Neural Networks,Environmental and water resources modelling,ANN model development protocol,Water quality,Review
Input selection,Model architecture,Computer science,Operations research,Artificial intelligence,Water quality modelling,Artificial neural network,Documentation,Water resources,Management science,Water quality,Machine learning
Journal
Volume
ISSN
Citations 
54
1364-8152
12
PageRank 
References 
Authors
0.69
26
3
Name
Order
Citations
PageRank
Wenyan Wu113815.75
Graeme C. Dandy244147.01
Holger R. Maier373872.97