Improving streamflow prediction using a new hybrid ELM model combined with hybrid particle swarm optimization and grey wolf optimization
Accurate runoff estimation is crucial for optimal reservoir operation and irrigation purposes.
In this study, a novel hybrid method is proposed for monthly runoff prediction in Mangla …
In this study, a novel hybrid method is proposed for monthly runoff prediction in Mangla …
A multi-strategy whale optimization algorithm and its application
W Yang, K **a, S Fan, L Wang, T Li, J Zhang… - … Applications of Artificial …, 2022 - Elsevier
Abstract Whale Optimization Algorithm (WOA) is a key tool for solving complex engineering
optimization problems, aiming at adjusting important parameters to satisfy constraints and …
optimization problems, aiming at adjusting important parameters to satisfy constraints and …
Support vector regression optimized by meta-heuristic algorithms for daily streamflow prediction
Accurate and reliable prediction of streamflow is vital to the optimization of water resources
management, reservoir flood operations, catchment, and urban water management. In this …
management, reservoir flood operations, catchment, and urban water management. In this …
Development of new machine learning model for streamflow prediction: Case studies in Pakistan
For accurate estimation of streamflow of a mountainous river basin, a novel hybrid method is
developed in this study, where gradient-based optimization (GBO) algorithm is employed to …
developed in this study, where gradient-based optimization (GBO) algorithm is employed to …
A comprehensive comparison of recent developed meta-heuristic algorithms for streamflow time series forecasting problem
Hydrological models play a crucial role in water planning and decision making. Machine
Learning-based models showed several drawbacks for frequent high and a wide range of …
Learning-based models showed several drawbacks for frequent high and a wide range of …
Implementation of hybrid particle swarm optimization-differential evolution algorithms coupled with multi-layer perceptron for suspended sediment load estimation
River suspended sediment load (SSL) estimation is of importance in water resources
engineering and hydrological modeling. In this study, a novel hybrid approach is …
engineering and hydrological modeling. In this study, a novel hybrid approach is …
Application of artificial neural networks, support vector machine and multiple model-ANN to sediment yield prediction
Sediment yield is important for maintaining soil health, reservoir sustainability,
environmental pollution, and conservation of natural resources. The main aim of the present …
environmental pollution, and conservation of natural resources. The main aim of the present …
[HTML][HTML] Application of bagging ensemble model for predicting compressive strength of hollow concrete masonry prism
In the current research, a newly developed ensemble intelligent predictive model called
Bagging Regression (BGR) is proposed to predict the compressive strength of a hollow …
Bagging Regression (BGR) is proposed to predict the compressive strength of a hollow …
The application of multi-attribute decision making methods in integrated watershed management
The present investigation has centered on examining the imp act of vegetation-based
management strategies on the socio-economic, physical, and ecological aspects of the …
management strategies on the socio-economic, physical, and ecological aspects of the …
Wetland transformation and its impact on the livelihood of the fishing community in a flood plain river basin of India
Discretely wetland transformations and livelihood vulnerability related works are profoundly
found worldwide, but their linkage is not investigated often. The present study aimed to …
found worldwide, but their linkage is not investigated often. The present study aimed to …