Advances in neural network modeling of phytoplankton primary production

Ecological Modelling

Volumn 146, Issue 1-3, 2001, Pages 33-45

  Scardi, Michele ^a  

^a UNIVERSITY OF BARI   (Italy)

Author keywords

Artificial neural networks; Empirical models; Phytoplankton; Primary production

Indexed keywords

ARTIFICIAL NEURAL NETWORK; ECOLOGICAL MODELING; PHYTOPLANKTON; PRIMARY PRODUCTION;

EID: 0035673819     PISSN: 03043800     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0304-3800(01)00294-0     Document Type: Article

References (13)

1. Photosynthetic rates derived from satellite-based chlorophyll concentration
2. Bio-optical models and the problems of scaling
3. Significance of biomass and light availability to phytoplantkon productivity in San Francisco Bay
4. An empirical model for estimating phytoplankton productivity in estuaries
5. Estimating phytoplankton growth rates in the central oligotrophic oceans
6. Neural networks and the bias/variance dilemma
7. Inference of a rule by a neural network with thermal noise
8. Estimating phytoplankton productivity from light availability and biomass in the MERL mesocosms and Narragansett Bay
9. Application of neural networks to modelling nonlinear relationships in ecology
10. Learning representations by back-propagating errors
11. Artificial neural networks as empirical models of phytoplankton production
12. Developing an empirical model of phytoplankton primary production: A neural network case study
13. Neural network models of phytoplankton primary production