Abstract The Self-Organizing Map (SOM) algorithm has attracted an ever increasing amount
of interest among researches and practitioners in a wide variety of elds. The SOM and a …

Damage caused by flash floods is increasing due to urbanization and climate change, thus it
is important to recognize floods in advance. The current physical hydraulic runoff model has …

Abstract The Kohonen Self-Organizing Map (KSOM) estimator is prescribed as a useful tool
for infilling the missing data in hydrometeorology. However, in this study, when the …

This study evaluates the performance of an enhanced Kohonen self-organizing map
(eKSOM)-based bias-correction technique and compares the results with a copula-based …

We construct a benchmarking model in the form of a twodimensional self-organising map
(SOM) to compare the performance of nonbanking financial institutions (NFIs) in Romania …

In this article we propose a modified version of Fuzzy C-Means (FCM) clustering algorithm in
order to better allocate the uncertain observations in the clusters. We change the objective …

Purpose–Studies aspects of Heinz von Foerster's work that are of particular importance for
cognitive science and artificial intelligence. Design/methodology/approach–Kohonen's self …

In this paper we apply the Self-Organized Map (SOM) method for clustering the DJIA and
NASDAQ100 portfolios for determination of non-linear correlations between stocks. We …

We analyse the implications of three different factors (preprocessing method, data
distribution and training mechanism) on the classification performance of artificial neural …

In this paper we construct a framework that enables us to make class predictions about the
performance of non-banking financial institutions (NFIs) in Romania. Our objective is to …