Review of the self-organizing map (SOM) approach in water resources: Analysis, modelling and application

By Aman Mohammad Kalteh, Peder Hjorth, Ronny Berndtsson. Environmental Modelling & Software, 2008

475 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Environmental Engineering, Water Science and Technology

View Paper: https://www.semanticscholar.org/paper/23683844406bea0451099532b872164b28c3fbc4

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Jan Adamowski
2. Holger R. Maier
3. Wenyan Wu
4. K. Sudheer
5. Graeme C. Dandy
6. Ozgur Kisi
7. Ashu Jain
8. Vahid Nourani

In Environmental Engineering

1. Jan Adamowski
2. Kwok-Wing Chau
3. Ozgur Kisi
4. Vahid Nourani
5. A. H. Baghanam
6. Holger R. Maier
7. Wenyan Wu
8. Graeme C. Dandy

In Water Science and Technology

1. Jan Adamowski
2. Wenyan Wu
3. Ozgur Kisi
4. K. Sudheer
5. Vahid Nourani
6. Holger R. Maier
7. A. H. Baghanam
8. Graeme C. Dandy

Citations in the corpus

• Digital Twin: Values, Challenges and Enablers From a Modeling Perspective (2019, unknown): “In such a situation unsupervised algorithms like self organized maps (SOM) [124] and clustering analysis [125] (k-mean, t-SNE [126]) have”
• Methods used for the development of neural networks for the prediction of water resource variables in river systems: Current status and future directions (2010, methodology): “For example, a self-organizing map (SOM) (see Kalteh et al., 2008) can be used to cluster the available data and to allocate data samples from each cluster to the training, testing and validation subset, thereby ensuring that patterns from different regions of the multivariate inputeoutput space…”
• Applications of hybrid wavelet–Artificial Intelligence models in hydrology: A review (2014, background): “…(see Table 2) concerning particular sub-sets of AI models used in hydrology or specifically on hydrological modeling have explored this topic (Abrahart et al., 2012; ASCE, 2000; Dawson and Wilby, 2001; Kalteh et al., 2008; Maier and Dandy, 2000; Maier et al., 2010; Solomatine and Ostfeld, 2008).”
• 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 (2014, background): “…2000b; Maier and Dandy, 2000; Dawson and Wilby, 2001; Kalogirou, 2001; Sharma et al., 2005; AhmadiNedushan et al., 2006; Abrahart et al., 2008; Kalteh et al., 2008; Céréghino and Park, 2009; Mellit et al., 2009; Elshorbagy et al., 2010a, 2010b; Maier et al., 2010; Abrahart et al.,…”