EconPapers    
Economics at your fingertips  
 

Neuroet: An easy-to-use artificial neural network for ecological and biological modeling

Peter A. Noble and Erik H. Tribou

Ecological Modelling, 2007, vol. 203, issue 1, 87-98

Abstract: Neuroet is an easy-to-use artificial neural network (NN) package designed to assist with determining relationships among variables in complex ecological and biological systems. The package, which is available for download from the web site http://noble.ce.washington.edu, features a procedure to optimize the architecture of NNs by adjusting the number of neurons in the hidden layer, and a novel procedure to identify the input variable, or combinations of input variables, that is/are important for predicting outputs. The package also includes a method to extract equations defining relationships among the data (independent of the NN package). The performance of Neuroet was assessed using benchmark standards for NNs. An example of the program's utility is provided using an environmental data set.

Keywords: Neural network; Ecological Modelling (search for similar items in EconPapers)
Date: 2007
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0304380006005606
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:ecomod:v:203:y:2007:i:1:p:87-98

DOI: 10.1016/j.ecolmodel.2005.06.013

Access Statistics for this article

Ecological Modelling is currently edited by Brian D. Fath

More articles in Ecological Modelling from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:ecomod:v:203:y:2007:i:1:p:87-98