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Developing an empirical model of phytoplankton primary production : a neural network case study

Author
SCARDI, M1 ; HARDING, L. W2
[1] Stazione Zoologica ' A. Dohrn' di Napoli, Villa Comunale, 80121 Napoli, Italy
[2] University of Maryland, Horn Point Laboratory (UMCES) and Maryland Sea Grant, Box 775, Cambridge, MA 21613, United States
Issue title
Special issue: Application of artificial neural networks in ecological modelling
Author (monograph)
LEK, Sovan (Editor)1 ; GUEGAN, Jean François (Editor)2
[1] CNRS, UMR 5576, CESAC-Université Paul Sabatier, 118 route de Narbonne, 31062 Toulouse, France
[2] Centre d'Etude sur le Polymorphisme des Micro-organismes, Centre I.R.D. de Montpellier, U.M.R. C.N.R.S.-I.R.D. 9926, 911 avenue du Val de Montferrand, Parc Agropolis, 34032 Montpellier, France
Source

Ecological modelling. 1999, Vol 120, Num 2-3, pp 213-223 ; ref : 14 ref

CODEN
ECMODT
ISSN
0304-3800
Scientific domain
Ecology; Environment
Publisher
Elsevier, Amsterdam
Publication country
Netherlands
Document type
Article
Language
English
Keyword (fr)
Etude cas Modèle empirique Phytoplancton Productivité primaire Réseau neuronal Baie Chesapeake Milieu marin
Keyword (en)
Case study Empirical model Phytoplankton Primary productivity Neural network Chesapeake Bay Marine environment
Keyword (es)
Estudio caso Modelo empírico Fitoplancton Productividad primaria Red neuronal Medio marino
Classification
Pascal
002 Biological and medical sciences / 002A Fundamental and applied biological sciences. Psychology / 002A14 Animal, plant and microbial ecology / 002A14A General aspects. Techniques / 002A14A02 Methods and techniques (sampling, tagging, trapping, modelling...)

Discipline
Animal, vegetal and microbial ecology
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
1975630

Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS

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