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431 |
Pareto Optimal Multigene Genetic Programming for Prediction of Longitudinal Dispersion Coefficient
Enthalten in Water resources management Bd. 33, 24.1.2019, Nr. 3, date:2.2019: 905-921
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432 |
Performance assessment of genetic programming (GP) and minimax probability machine regression (MPMR) for prediction of seismic ultrasonic attenuation
Enthalten in Earthquake science Bd. 26, 30.10.2013, Nr. 2, date:4.2013: 147-150
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433 |
Performance of Genetic Programming and Multivariate Adaptive Regression Spline Models to Predict Vibration Response of Geocell Reinforced Soil Bed: A Comparative Study
Enthalten in International journal of geosynthetics and ground engineering Bd. 7, 23.8.2021, Nr. 3, date:9.2021: 1-17
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434 |
Performance of genetic programming optimised Bowtie2 on genome comparison and analytic testing (GCAT) benchmarks
Enthalten in BioData Mining Bd. 8, 8.1.2015, Nr. 1, date:6.2015: 1-7
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435 |
Polynomial genetic programming for response surface modeling Part 1: a methodology
Enthalten in Structural and multidisciplinary optimization Bd. 29, 31.8.2004, Nr. 1, date:1.2005: 19-34
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436 |
Polynomial genetic programming for response surface modeling Part 2: adaptive approximate models with probabilistic optimization problems
Enthalten in Structural and multidisciplinary optimization Bd. 29, 31.8.2004, Nr. 1, date:1.2005: 35-49
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437 |
Predicting critical shear stress using multivariate adaptive regression splines and genetic expression programming for cohesive soils on the Island of Oahu, Hawaii
Enthalten in Discover applied sciences Bd. 6, 11.6.2024, Nr. 6, date:6.2024: 1-15
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438 |
Predicting liquefaction-induced lateral spreading by using the multigene genetic programming (MGGP), multilayer perceptron (MLP), and random forest (RF) techniques
Enthalten in Bulletin of engineering geology and the environment Bd. 82, 21.2.2023, Nr. 3, date:3.2023: 1-18
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439 |
Predicting nanocomposite binder improved unsaturated soil UCS using genetic programming
Enthalten in Nanotechnology for environmental engineering Bd. 6, 16.7.2021, Nr. 2, date:8.2021: 1-12
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440 |
Predicting stress distribution in cold-formed material with genetic programming
Enthalten in The international journal of advanced manufacturing technology Bd. 23, 14.2.2004, Nr. 7-8, date:4.2004: 467-474
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