The use of artificial neural networks (ANNs) in problems related to water resources has
received steadily increasing interest over the last decade or so. The related method of the …

This book discusses machine learning algorithms, such as artificial neural networks of
different architectures, statistical learning theory, and Support Vector Machines used for the …

Given that around eight million commuters use the Seoul Metropolitan Subway (SMS) each
day, the indoor air quality (IAQ) of its stations has attracted much public attention. We have …

This study evaluated integrative river ecosystem health using stressor-based models of
physical habitat health, chemical water health, and biological health of fish and identified …

The literature discusses a number of theoretical, small, and full scale experimental
programs, which have aimed at identifying parameters influencing sublevel caving (SLC) …

The organization that are based on efficiency, are aware of information which became more
valuable when shared and its importance of organizational management. The aim of …

Data interpretation is a common task in geoscientific disciplines. Interpretation difficulties
occur especially if the data that have to be interpreted are of arbitrary dimension. This paper …

Catches from the small-scale trap fishery in Bandon Bay, Suratthani, Thailand, were
monitored from 14 sites around the Bay, then disturbance to aquatic communities and catch …

In numerous applicative contexts, data are too rich and too complex to be represented by
numerical vectors. A general approach to extend machine learning and data mining …

In this paper, we illustrate the use of the self-organizing map technique for financial
performance analysis and benchmarking. We build a database of financial ratios indicating …