Zobrazeno 1 - 10 of 13 pro vyhledávání: '"Flourent, Hélène"'
1
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An innovating Statistical Learning Tool based on Partial Differential Equations, intending livestock Data Assimilation
Autor: Flourent, Hélène, Frénod, Emmanuel, Sincholle, Vincent
The realistic modeling intended to quantify precisely some biological mechanisms is a task requiering a lot of a priori knowledge and generally leading to heavy mathematical models. On the other hand, the structure of the classical Machine Learning a
Externí odkaz: http://arxiv.org/abs/1903.12423
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2
Akademický článek
Construction of a statistical learning tool based on ordinary differential equations to model the digestive behaviour of ross chickens
Autor: Bloyet Nicolas, Flourent Hélène, Frénod Emmanuel, Handa Marouan, Moundoyi Harold, Phuong Thuy Vo Thi
Publikováno v: ESAIM: Proceedings and Surveys, Vol 67, Pp 61-71 (2020)
Being able to monitor and forecast farm animal performances is a strategic problem in the agronomy industry. We use a Data-Model Coupling approach to build a biomimetic Statistical Learning tool taking into account some aspects of the biological dyna
Externí odkaz: https://doaj.org/article/ed020bbdf1af477086529d5805973977
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5
Construction and analysis of Statistical Learning tools, based on systems of Partial Differential Equations, for livestock Data Assimilation
Autor: Flourent, Hélène
Publikováno v: Mathématiques [math]. Université de Bretagne Sud, 2020. Français
This thesis demonstrates that Partial Differential Equations can be powerful to build efficient Artificial Intelligence, especially in the Smart Farming sector. Data Assimilation seems to be the tool that will permit to oversee the breeding farms of
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::c0c2240c1be210a305ef248797d928f9
https://hal.archives-ouvertes.fr/tel-03112371
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6
Study of the ranges of values of a Biomimetic Statistical Learning Tool parameters
Autor: Flourent, Hélène
We built a Biomimetic Statistical Learning T ool based on a P DE system, embarking the mathematical expression of biological determinants, in order to perform Data Fitting and Data Assimilation (See Flourent et al. (Submitted)). Before starting the t
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::0b5678ce502bebabe1218983250a7e44
https://hal.archives-ouvertes.fr/hal-02067374
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7
On Existence, Uniqueness and Qualitative Properties of a system of Partial Dierential Equations involved in a Statistical Learning Tool intending livestock Data Assimilation. Working-Paper Version
Autor: Flourent, Hélène, Frénod, Emmanuel
In the article Flourent et al. (Submitted), a Biomimetic Statistical Learning tool was developed. This tool is based on a system of Partial Dierential Equations. Some applications showed that this tool provides accurate predictions and has an extrapo
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::02baa881393df912bb84a3f572eb0573
https://hal.archives-ouvertes.fr/hal-02425981
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8
Construction et analyse d’outils d’apprentissage statistique biomimétiques basés sur des systèmes d’Equations aux Dérivées Partielles pour l’Assimilation de Données d’élevage
Autor: Flourent, Hélène
Publikováno v: Statistiques [math.ST]. Université de Bretagne Sud, 2020. Français. ⟨NNT : 2020LORIS557⟩
Mathématiques [math]. Université de Bretagne Sud, 2020. Français
One of the objectives of this thesis is to demonstrate that Partial Differential Equations (PDE) can be powerful to build efficient Artificial Intelligence, especially in the Smart Farming sector. Data Assimilation seems to be the tool that will perm
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::63180b6d8c9852fb3d94da7d96e02d69
https://theses.hal.science/tel-03324814
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9
An innovating Statistical Learning Tool based on Partial Differential Equations, intending livestock Data Assimilation
Autor: Flourent, Hélène, Frénod, Emmanuel, Sincholle, Vincent
The realistic modeling intended to quantify precisely some biological mechanisms is a task requiering a lot of a priori knowledge and generally leading to heavy mathematical models. On the other hand, the structure of the classical Machine Learning a
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::29065e76fc3e6e7ed65509d9762a56b3
https://hal.archives-ouvertes.fr/hal-02079750
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10
Construction of a Statistical Learning tool based on Ordinary Differential Equations to model the digestive behavior of Ross chikens
Autor: Bloyet, Nicolas, Flourent, Hélène, Frénod, Emmanuel, Handa, Marouan, Moundoyi, Harold, Vo Thi Phuong, Thuy
Publikováno v: ESAIM: Proceedings and Surveys
ESAIM: Proceedings and Surveys, EDP Sciences, In press, 2019
International audience; Being able to monitor and forecast farm animal performances is a strategic problem in the agronomy industry. We use a Data-Model Coupling approach to build a biomimetic Statistical Learning tool taking into account some aspect
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::c99fb62aff12aabf44a6a6f7e8b5f581
https://hal.archives-ouvertes.fr/hal-02055169/document
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