Application of Artificial Neural Networks to predict the final fruit weight and random forest to select important variables in native population of melon (Cucumis melo L.)

MRN Rad, HR Fanaei, MRP Rad - Scientia Horticulturae, 2015 - Elsevier
The estimation of the relation between the inconstant factors can be highly helpful for
calculating the amount of variation of a particular character with respect to others. This paper …
被引用次数：70 相关文章

Application of Artificial Neural Networks to predict the final fruit weight and random forest to select important variables in native population of melon (Cucumis melo L.) …

MRN Rad, S Koohkan, HR Fanaei, MRP Rad - 2015 - cabidigitallibrary.org
The estimation of the relation between the inconstant factors can be highly helpful for
calculating the amount of variation of a particular character with respect to others. This paper …

Application of Artificial Neural Networks to predict the final fruit weight and random forest to select important variables in native population of melon (Cucumis melo L.)

MR Naroui Rad, HR Fanaei… - Scientia …, 2015 - ui.adsabs.harvard.edu
The results obtained highlight the obvious usefulness of Artificial Neural Networks, which
could now be used in a prospective evaluation for application of the technique to predict fruit …

[引用][C] Application of Artificial Neural Networks to predict the final fruit weight and random forest to select important variables in native population of melon (Cucumis …

MRN Rad, HR Fanaei, MRP Rad - 2015