The main objective of this study is to apply artificial neural network (ANN) and wavelet-
neural network (WNN) models for predicting a variety of ocean water quality parameters. In …

In the field of Machine learning & Data Mining, lot of work had been done to construct new
classification techniques/classifiers and lot of research is going on to construct further new …

This paper is concerned with the use of artificial neural network and multiple linear
regression (MLR) models for the prediction of three major water quality parameters in the …

This paper endeavors the growing challenges of groundwater economy in agriculture with
information and analysis of the spatial nonlinearity in groundwater depletion due to …

Inference System (FIS) and Neural Network (NN) are employed for developing of the
predictive models to estimate parameters of water quality. The main objective of this study is …

Appropriate management of groundwater resources requires accurate information about the
characteristics of the groundwater table, spatial distribution of its characteristics, and the …

Rainfall-runoff modeling has been considered as one of the major problems in water
resources management, especially in most developing countries such as Thailand. Artificial …

Considering the significance of the Sodium Adsorption Ratio (SAR) for growing plants, its
prediction is essential for water quality management for irrigation. The SAR prediction in …

Deterioration of water quality has initiated serious management efforts in many countries.
This study endeavors to automatically classify water quality. The water quality classes are …

One of the main aims of water resource planners and managers is to estimate and predict
the parameters of groundwater quality so that they can make managerial decisions. In this …