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Artificial Neural Network Modeling of the Environmental Fate and Ecotoxicity of Chemicals

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Ecotoxicology Modeling

Part of the book series: Emerging Topics in Ecotoxicology ((ETEP,volume 2))

Abstract

An artificial neural network (ANN) includes nonlinear computational elements called neurons, which are linked by weighted connections. Typically, a neuron receives an input information and performs a weighted summation, which is propagated by an activation function to other neurons through the ANN. Numerous ANN paradigms have been proposed for pattern classification, clustering, function approximation, prediction, optimization, and control. In this chapter, an attempt is made to review the main applications of ANNs in ecotoxicology. Our goal was not to catalog all the models in the field but only to show the diversity of the situations in which these nonlinear tools have proved their interest for modeling the environmental fate and effects of chemicals.

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    James Devillers

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Devillers, J. (2009). Artificial Neural Network Modeling of the Environmental Fate and Ecotoxicity of Chemicals. In: Devillers, J. (eds) Ecotoxicology Modeling. Emerging Topics in Ecotoxicology, vol 2. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-0197-2_1

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