Modeling of scour hole characteristics under turbulent wall jets using machine learning. [PDF]
Khuntia JR, Devi K, Mumtaz MA.
europepmc +1 more source
Development of soft computing-based models for forecasting water quality index of Lorestan Province, Iran. [PDF]
Singh B +9 more
europepmc +1 more source
Optimizing ternary hybrid nanofluids using neural networks, gene expression programming, and multi-objective particle swarm optimization: a computational intelligence strategy. [PDF]
Hai T +9 more
europepmc +1 more source
Related searches:
Roadheading machines play a vital role in excavation operation in tunneling and mining industries notably when selective mining is required. Roadheaders are more effective in soft to medium rock formations due to a higher cutting rate in such strata.
Roohollah Shirani Faradonbeh +2 more
exaly +3 more sources
Statistical downscaling of watershed precipitation using Gene Expression Programming (GEP)
Environmental Modelling and Software, 2011Investigation of hydrological impacts of climate change at the regional scale requires the use of a downscaling technique. Significant progress has already been made in the development of new statistical downscaling techniques. Statistical downscaling techniques involve the development of relationships between the large scale climatic parameters and ...
Bruce Melville, Asaad Shamseldin
exaly +4 more sources
Reduced-GEP: Improving Gene Expression Programming by Gene Reduction
2010 Second International Conference on Intelligent Human-Machine Systems and Cybernetics, 2010In traditional Gene Expression Programming (GEP), each chromosome is expressed and evaluated on the Expression Tree (ET). The ET-based expression and evaluation are computationally expensive and the intelligibility of the chromosome is low. In this paper, a highly efficient algorithm, Reduced-GEP, is proposed to solve these problems.
Yu Chen +5 more
exaly +2 more sources
RL-GEP: Symbolic Regression via Gene Expression Programming and Reinforcement Learning
2021 International Joint Conference on Neural Networks (IJCNN), 2021Symbolic regression has become a hot topic in recent years due to the surging demand for interpretable machine learning methods. Traditionally, symbolic regression problems are mainly solved by genetic algorithms.
Hengzhe Zhang, Aimin Zhou
semanticscholar +2 more sources
Rectangular tunnel boring machine (TBM) is applied for the tunnels’ excavation including a cross section of circular and rectangular shape within the various rocks and soil strata. Excessive structural forces, which is produced within tunnel linings, might affect the serviceability and safety of tunnels whose forces acting on tunnels linings during the
Jun Zhang +6 more
semanticscholar +2 more sources
An Improved Gene Expression Programming(GEP) Algorithm Based on Classification
2008 3rd International Conference on Innovative Computing Information and Control, 2008This paper presents an improved gene expression programming (GEP) algorithm, which combines the thought of classification and the original GEP operations. Meanwhile it designs a heuristic accelerating searching strategy and a diversity operator, which imports the thought of greedy algorithm and simulated annealing respectively.
Yong Wu +3 more
semanticscholar +2 more sources
Application of gene expression programming (GEP) in power transformers fault diagnosis using DGA
2014 6th IEEE Power India International Conference (PIICON), 2014Accurate diagnosis of incipient faults in oil-filled power transformers is important in preventive maintenance of transformers. Dissolved gas analysis (DGA) is an effective tool to diagnose incipient transformer faults. The majority of the methods reported in literature to analyze DGA results lay more emphasis on user experience rather than ...
H. Malik, Sukumar Mishra
semanticscholar +2 more sources

