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

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  • Noble, Peter A.
  • Tribou, Erik H.

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.

Suggested Citation

  • Noble, Peter A. & Tribou, Erik H., 2007. "Neuroet: An easy-to-use artificial neural network for ecological and biological modeling," Ecological Modelling, Elsevier, vol. 203(1), pages 87-98.
    • Handle: RePEc:eee:ecomod:v:203:y:2007:i:1:p:87-98
    DOI: 10.1016/j.ecolmodel.2005.06.013
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    Cited by:

    1. H.U. Farid & A. Bakhsh & N. Ahmad & A. Ahmad & A. Farroq, 2012. "Spatial Relationships of Landscape Attributes and Wheat Yield Patterns," Journal of Agricultural Science, Canadian Center of Science and Education, vol. 5(1), pages 275-275, December.

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    Keywords

    Neural network; Ecological Modelling;

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