Search Results - flow prediction algorithm
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1
Immune network algorithm in monthly streamflow prediction at Johor river
Published 2014“…This study proposes an alternative method in generating future stream flow data with single-point river stage. Prediction of stream flow data is important in water resources engineering for planning and design purposes in order to estimate long term forecasting. …”
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Proceeding Paper -
2
Ensemble Dual Recursive Learning Algorithms for Identifying Custom Tanks Flow with Leakage
Published 2010“…This paper proposed that, combination of two algorithms into one learning algorithm for predicting mass flow rate of a flow with leakage resulting in a better mass prediction error as compared to a model with single learning algorithm.…”
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Conference or Workshop Item -
3
Ensemble dual recursive learning algorithms for identifying flow with leakage
Published 2010“…This paper proposed that, combination of two algorithms into one learning algorithm for predicting mass flow rate of a flow with leakage resulting in a better mass prediction error compare to a model with single learning algorithm.…”
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Conference or Workshop Item -
4
The Use of Artificial Neural Networks and Genetic Algorithms for Effectively Optimizing Production from Multiphase Flow Wells
Published 2010“…The need for accurate prediction of these parameters is a key factor in clearly understanding multiphase flow in tubing. …”
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5
Immune network algorithm in monthly streamflow prediction at Johor river
Published 2015“…This study proposes an alternative method in generating future stream flow data with single-point river stage. Prediction of stream flow data is important in water resources engineering for planning and design purposes in order to estimate long term forecasting. …”
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Article -
6
Predicting Flow Rate of V-Shape Customm Tank Using Derivative Free Recursive Algorithm
Published 2011“…This study is looking into predicting the state of variables that completely represent the dynamics the custom tank (height of fluid or output flow rate). …”
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Citation Index Journal -
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A new soft computing model for daily streamflow forecasting
Published 2023“…Climate change; Data streams; Floods; Forecasting; Genetic algorithms; Hydroelectric power plants; Mean square error; Multilayer neural networks; Particle swarm optimization (PSO); Soft computing; Soil conservation; Water conservation; Water management; Water supply; Flow quantification; Multi layer perceptron; Optimization algorithms; Predicting models; Root mean square errors; Soft computing models; Streamflow forecasting; Watershed management; Stream flow; algorithm; forecasting method; hydroelectric power plant; numerical model; optimization; principal component analysis; streamflow; watershed; Helianthus…”
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Adaptive mesh refinement immersed boundary method for simulations of laminar flows past a moving thin elastic structure
Published 2020“…The algorithm is then used to simulate 2-D laminar flows past stationary and moving thin structures positioned perpendicular to the freestream direction. …”
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Article -
9
River flow prediction based on improved machine learning method: Cuckoo Search-Artificial Neural Network
Published 2024Subjects:Article -
10
Immune network algorithm in monthly streamflow prediction at Johor river
Published 2023“…This study proposes an alternative method in generating future stream flow data with single-point river stage. Prediction of stream flow data is important in water resources engineering for planning and design purposes in order to estimate long term forecasting. …”
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Real-time implementation of model predictive control for flow control application
Published 2014“…This paper presents real-time implementation of model predictive control (MPC) of flow process application. …”
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Conference or Workshop Item -
13
Simulation of the flow pattern around spur dykes using FLUENTS
Published 1999“…The ultimate objective of this study is the prediction of flow pattern associated with spur dykes. …”
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Article -
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Model predictive control of bidirectional isolated DC-DC converter for energy conversion system
Published 2023“…Cost functions; DC transformers; Electric load flow; Electric power factor; Energy conversion; Energy transfer; High frequency transformers; HVDC power transmission; MATLAB; Model predictive control; Power control; Predictive control systems; Reactive power; Voltage control; Bidirectional DC-DC converters; Bidirectional isolated dc-dc converter; Energy conversion systems; Full-bridge dc-dc converters; Power conversion systems; Predictive control; Predictive control algorithm; Unity power factor; DC-DC converters…”
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Analysis of bubble departure and lift-off boiling model using computational intelligence techniques and hybrid algorithms
Published 2024“…The bubble departure and lift-off boiling (BDL) model was studied using computational intelligence techniques and hybrid algorithms. Quite a few studies have predicted the relationship between wall heat fluxes and wall temperature in the form of flow boiling curves. …”
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16
Recursive linear network modeling for detecting gas leak
Published 2010“…This paper proposed that, RLS algorithm model with Inversion Lemma update scheme can predict the release flow rate at very high accuracy comparatively and can to adopt the learning process very well.…”
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Conference or Workshop Item -
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PREDICTING FLOW RATE AND LEVEL OF CUSTOM TANK USING PARTICLE FILTER
Published 2009“…This project is looking into predicting the state of variables that completely represent the dynamics the custom tank (height of fluid or output flow rate). …”
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Final Year Project -
19
Cell by cell artificial neural network model for predicting laminar, incompressible, viscous flow
Published 2016“…In this research, a cell-by-cell artificial neural network approach is used to predict the velocity vectors of steady-state, viscous, incompressible, laminar flows in a two-dimensional computational domain. …”
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Article -
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Cell by cell artificial neural network model for predicting laminar, incompressible, viscous flow
Published 2016“…In this research, a cell-by-cell artificial neural network approach is used to predict the velocity vectors of steady-state, viscous, incompressible, laminar flows in a two-dimensional computational domain. …”
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