Methods used for the development of neural networks for the prediction of water resource variables in river systems: Current status and future directions
Over the past 15 years, artificial neural networks (ANNs) have been used increasingly for
prediction and forecasting in water resources and environmental engineering. However …
prediction and forecasting in water resources and environmental engineering. However …
Artificial intelligence for suspended sediment load prediction: a review
The estimation of sediment yield concentration is crucial for the development of stream
ventures, watershed management, toxins estimation, soil disintegration, floods, and so on. In …
ventures, watershed management, toxins estimation, soil disintegration, floods, and so on. In …
Machine learning techniques for downscaling SMOS satellite soil moisture using MODIS land surface temperature for hydrological application
Many hydrologic phenomena and applications such as drought, flood, irrigation
management and scheduling needs high resolution satellite soil moisture data at a …
management and scheduling needs high resolution satellite soil moisture data at a …
A wavelet-support vector machine conjunction model for monthly streamflow forecasting
The study investigates the accuracy of wavelet and support vector machine conjunction
model in monthly streamflow forecasting. The conjunction method is obtained by combining …
model in monthly streamflow forecasting. The conjunction method is obtained by combining …
Prediction of water quality index in constructed wetlands using support vector machine
Poor water quality is a serious problem in the world which threatens human health,
ecosystems, and plant/animal life. Prediction of surface water quality is a main concern in …
ecosystems, and plant/animal life. Prediction of surface water quality is a main concern in …
Forecasting of stage-discharge in a non-perennial river using machine learning with gamma test
Abstract Knowledge of the stage-discharge rating curve is useful in designing and planning
flood warnings; thus, developing a reliable stage-discharge rating curve is a fundamental …
flood warnings; thus, developing a reliable stage-discharge rating curve is a fundamental …
Modeling stage–discharge–sediment using support vector machine and artificial neural network coupled with wavelet transform
Many real water issues involve rivers' sediment load or the load that rivers can bring without
degrading the fluvial ecosystem. Therefore, the assessment of sediments carried by a river is …
degrading the fluvial ecosystem. Therefore, the assessment of sediments carried by a river is …
An integrated wavelet-support vector machine for groundwater level prediction in Visakhapatnam, India
C Suryanarayana, C Sudheer, V Mahammood… - Neurocomputing, 2014 - Elsevier
Accurate and reliable prediction of the groundwater level variation is significant and
essential in water resources management of a basin. The situation is complicated by the fact …
essential in water resources management of a basin. The situation is complicated by the fact …
Estimation of monthly evaporative loss using relevance vector machine, extreme learning machine and multivariate adaptive regression spline models
The forecasting of evaporative loss (E) is vital for water resource management and
understanding of hydrological process for farming practices, ecosystem management and …
understanding of hydrological process for farming practices, ecosystem management and …
[HTML][HTML] A comparative analysis among computational intelligence techniques for dissolved oxygen prediction in Delaware River
E Olyaie, HZ Abyaneh, AD Mehr - Geoscience Frontiers, 2017 - Elsevier
Most of the water quality models previously developed and used in dissolved oxygen (DO)
prediction are complex. Moreover, reliable data available to develop/calibrate new DO …
prediction are complex. Moreover, reliable data available to develop/calibrate new DO …