Evaluation of feature selection methods based on artificial neural network weights

Author:

Luíza da Costa Nattane,Dias de Lima Márcio,Barbosa RommelORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference49 articles.

1. Removal of Cr(VI) from polluted solutions by electrocoagulation: Modeling of experimental results using artificial neural network;Aber;Journal of Hazardous Materials,2009

2. State-of-the-art in artificial neural network applications: A survey;Abiodun;Heliyon,2018

3. Finite element and ANN-based prediction of bearing capacity of square footing resting on the crest of c-φ soil slope;Acharyya;International Journal of Geotechnical Engineering,2018

4. Using Machine Learning and Multi-Element Analysis to Evaluate the Authenticity of Organic and Conventional Vegetables;Araújo;Food Analytical Methods,2019

5. A survey on feature selection methods;Chandrashekar;Computers and Electrical Engineering,2014

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