Katalog der Deutschen Nationalbibliothek

Ergebnis der Suche nach: tit all "Genetic Programming"
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	521	Modeling of Arsenic (III) Removal by Evolutionary Genetic Programming and Least Square Support Vector Machine Models Enthalten in Environmental processes Bd. 2, 18.12.2014, Nr. 1, date:3.2015: 145-172
	522	Modeling of constructed wetland performance in BOD5 removal for domestic wastewater under changes in relative humidity using genetic programming Enthalten in Environmental monitoring and assessment Bd. 189, 15.3.2017, Nr. 4, date:4.2017: 1-10
	523	Modeling the mechanical properties of rubberized concretes by neural network and genetic programming Enthalten in Materials and structures Bd. 43, 14.1.2009, Nr. 1-2, date:1.2010: 31-45
	524	Modeling Torsional Strength of Reinforced Concrete Beams using Genetic Programming Polynomials with Building Codes Enthalten in Taehan-t'omok-hakhoe: KSCE journal of civil engineering Bd. 23, 27.6.2019, Nr. 8, date:8.2019: 3464-3475
	525	Monthly reservoir inflow forecasting using a new hybrid SARIMA genetic programming approach Enthalten in Journal of earth system science Bd. 126, 18.2.2017, Nr. 2, date:3.2017: 1-13
	526	Motif kernel generated by genetic programming improves remote homology and fold detection Enthalten in BMC bioinformatics Bd. 8, 25.1.2007, Nr. 1, date:12.2007: 1-16
	527	Multi-denoising based impulse noise removal from images using robust statistical features and genetic programming Enthalten in Multimedia tools and applications Bd. 75, 30.4.2015, Nr. 10, date:5.2016: 5887-5916
	528	Multi-objective genetic programming approach for robust modeling of complex manufacturing processes having probabilistic uncertainty in experimental data Enthalten in Journal of intelligent manufacturing Bd. 28, 25.9.2014, Nr. 1, date:1.2017: 149-163
	529	Multi-objective genetic programming for feature extraction and data visualization Enthalten in Soft computing Bd. 21, 26.10.2015, Nr. 8, date:4.2017: 2069-2089
	530	Multi-objective genetic programming with partial sampling and its extension to many-objective Enthalten in SN applied sciences Bd. 1, 4.2.2019, Nr. 3, date:3.2019: 1-14