Subject
Agronomy and Crop Science
Reference66 articles.
1. Prediction of solubility of N-alkanes in supercritical CO2 using RBF-ANN and MLP-ANN;Abdi Khanghah;J. CO2 Util.,2018
2. Modeling oil content of sesame (Sesamum indicum L.) using artificial neural network and multiple linear regression approaches;Abdipour;JAOCSJ. Am. Oil Chem. Soc.,2018
3. Abdipour, M., Younessi-Hmazekhanlu, M., Ramazani, S.H.R., omidi, A. hassan, 2019. Artificial neural networks and multiple linear regression as potential methods for modeling seed yield of safflower (Carthamus tinctorius L.). Ind. Crops Prod. 127, 185–194. https://doi.org/10.1016/j.indcrop.2018.10.050.
4. Impact of soil nutrients and environmental factors on podophyllotoxin content among 28 Podophyllum hexandrum populations of Northwestern Himalayan region using linear and nonlinear approaches;Afroz;Commun. Soil Sci. Plant Anal.,2009
5. Applicability of connectionist methods to predict dynamic viscosity of silver/water nanofluid by using ANN-MLP, MARS and MPR algorithms;Ahmadi;Eng. Appl. Comput. Fluid Mech.,2019
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