Contribution to Decision Tree Induction with Python: A Review

Autor: Bouchra Lamrini

Among the learning algorithms, one of the most popular and easiest to understand is the decision tree induction. The popularity of this method is related to three nice characteristics: interpretability, efficiency, and flexibility. Decision tree can

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3abc7245c29f457728413da74d90c96e
http://www.intechopen.com/articles/show/title/contribution-to-decision-tree-induction-with-python-a-review

Detection of functional states by the ‘LAMDA’ classification technique: application to a coagulation process in drinking water treatment

Autor: Ahmed Benhammou, El Khadir Lakhal, Marie-Véronique Le Lann, Bouchra Lamrini

Publikováno v: Comptes Rendus Physique. 6:1161-1168

The present Note proposes a learning classification methodology to identify functional states on a coagulation process involved in drinking water treatment. In this work, we chose to carry out the supervised control of this process while using the LA

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::814fbe6c1941819e5a6787287d1518da
https://doi.org/10.1016/j.crhy.2005.11.017

A decision support tool for technical processes optimization in drinking water treatment

Autor: Bouchra Lamrini, Marie Véronique Le Lann, El Khadir Lakhal

Publikováno v: Desalination and Water Treatment
Desalination and Water Treatment, FHF, 2014, 52 (22-24), pp.4079-4088. ⟨10.1080/19443994.2013.803327⟩
Desalination and Water Treatment, 2014, 52 (22-24), pp.4079-4088. ⟨10.1080/19443994.2013.803327⟩

International audience; In water treatment, the technical processes study aims generally to deal with problems that natural processes are unable or only inadequate to perform. The technical systems aim for a good control of process and therefore a go

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7c871932a12be6c1ca5d9b56a55a3f3f
https://hal.archives-ouvertes.fr/hal-01998618

A neural network system for modelling of coagulant dosage used in drinking water treatment

Autor: Ahmed Benhammou, A. Karama, Bouchra Lamrini, M-V. Le Lann

Publikováno v: Adaptive and Natural Computing Algorithms ISBN: 9783211249345

This paper presents the elaboration and validation of “soft sensor” using neural networks for on-line estimation of the coagulation dose from raw water characteristics. The main parameters influencing the coagulant dosage are firstly determined v

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::48f0ed864e8adbfeed63c7e748dbd8d7
https://doi.org/10.1007/3-211-27389-1_23