Results 141 to 150 of about 82,724 (185)

Development of soft computing-based models for forecasting water quality index of Lorestan Province, Iran. [PDF]

open access: yesSci Rep
Singh B   +9 more
europepmc   +1 more source

Roadheader performance prediction using genetic programming (GP) and gene expression programming (GEP) techniques

Environmental Earth Sciences, 2017
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, 2011
Investigation 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, 2010
In 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), 2021
Symbolic 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

Numerical assessment of rectangular tunnels configurations using support vector machine (SVM) and gene expression programming (GEP)

Engineering with Computers, 2021
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, 2008
This 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), 2014
Accurate 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

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