[HTML][HTML] An enhanced feed-forward back propagation Levenberg–Marquardt algorithm for suspended sediment yield modeling

A Yadav, P Chithaluru, A Singh, D Joshi… - Water, 2022 - mdpi.com
Rivers are dynamic geological agents on the earth which transport the weathered materials
of the continent to the sea. Estimation of suspended sediment yield (SSY) is essential for …

[HTML][HTML] Optimized scenario for estimating suspended sediment yield using an artificial neural network coupled with a Genetic Algorithm

A Yadav, MK Hasan, D Joshi, V Kumar, AHM Aman… - Water, 2022 - mdpi.com
Rivers are the agents on earth and act as the main pathways for transporting the continental
weathered materials into the sea. The estimation of suspended sediment yield (SSY) is …

Prediction of suspended sediment yield by artificial neural network and traditional mathematical model in Mahanadi river basin, India

A Yadav, S Chatterjee, SM Equeenuddin - Sustainable Water Resources …, 2018 - Springer
Estimation of sediment yield is essential towards understanding the mass balance between
the ocean and land. Direct measurement of suspended sediment is difficult as it needs …

[HTML][HTML] Capability and robustness of novel hybridized artificial intelligence technique for sediment yield modeling in Godavari River, India

A Yadav, D Joshi, V Kumar, H Mohapatra, C Iwendi… - Water, 2022 - mdpi.com
Suspended sediment yield (SSY) prediction plays a crucial role in the planning of water
resource management and design. Accurate sediment prediction using conventional models …

[HTML][HTML] Application of ANNs for the modeling of streamflow, sediment transport, and erosion rate of a high-altitude river system in Western Himalaya, Uttarakhand

KS Rautela, D Kumar, BGR Gandhi, A Kumar… - RBRH, 2022 - SciELO Brasil
The estimation of stream discharge is an essential component of planning and decision-
making. It is highly correlated with many development activities involving water resources …

[PDF][PDF] Suspended sediment concentration modeling using conventional and machine learning approaches in the Thames River, London Ontario

I Mohamed, I Shah - Journal of Water Management Modeling, 2018 - scholar.archive.org
Water resources management, hydraulic designs, environmental conservation, reservoir
operation, river navigation and hydro-electric power generation all require reliable …

A comparison of various machine learning approaches performance for prediction suspended sediment load of river systems: a case study in Malaysia

MS Hanoon, AA Abdullatif B, AN Ahmed… - Earth Science …, 2022 - Springer
Accurate and reliable suspended sediment load (SSL) prediction models are necessary for
the planning and management of water resource structures. In this study, four machine …

Capability assessment of conventional and data-driven models for prediction of suspended sediment load

A Kumar, VK Tripathi - Environmental Science and Pollution Research, 2022 - Springer
Abstract Information about suspended sediment concentration (SSC) in the stream is vital for
sustainability of water conservation and erosion control planning, designing and monitoring …

Multi-objective genetic algorithm optimization of artificial neural network for estimating suspended sediment yield in Mahanadi River basin, India

A Yadav, P Satyannarayana - International Journal of River basin …, 2020 - Taylor & Francis
Rivers are an integral part of the hydrological cycle and are the major geological agents
which erode the continents and transport water and sediments to the oceans. Thus rivers act …

[HTML][HTML] Suspended sediment yield forecasting with single and multi-objective optimization using hybrid artificial intelligence models

A Yadav, P Chithaluru, A Singh, MA Albahar, A Jurcut… - Mathematics, 2022 - mdpi.com
Rivers play a major role within ecosystems and society, including for domestic, industrial,
and agricultural uses, and in power generation. Forecasting of suspended sediment yield …