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 …

In the present study, four different heuristic techniques viz. multi-layer perceptron (MLP),
radial basis function (RBF), self-organizing maps (SOM), and co-active neuro-fuzzy …

Due to the complexity of variable distributions, it is essential to evaluate the flow patterns in
sharp curved channels with different angles. It has recently become more common to use …

Eight multilayer feedforward artificial neural network based models were developed to
predict daily suspended sediment concentration for the Baitarani river at Anandpur gauging …

Modelling of soil erosion rate has become very essential in large catchments in which all the
watersheds must be treated and developed on priority basis to minimize the soil loss and …

Knowledge of stage-discharge and runoff-sediment relationships are extremely important for
the planning and management of water resources. This study focuses on the issues of water …

The accurate estimation of daily pan evaporation from the field is desired for better planning
and utilization of irrigation and water resources in various fields such as water requirement …

Surface runoff and sediment loadings are immense problems that have threatened water
resources development in the Muger river basin. The main objective of the study is to model …

41. Sayadi A., Monjezi M., N. Talebi and Khandelwal M.(2013), A comparative study on the
application of various artificial neural networks to simultaneous prediction of rock …

First and foremost, I bow my head in front of the God, the Almighty, for His showers of
blessings throughout my research work to complete the research successfully. I gratefully …