NDLI: Nonylphenol biodegradation kinetics estimation using neural networks

Content Provider	IEEE Xplore Digital Library
Author	Shaik, R. Ordonez, R. Ramachandran, R.P.
Copyright Year	2006
Description	Author affiliation: Dayton Univ., OH (Shaik, R.)
Abstract	Many man made chemical substances are coming under the focus for environmental abuse and their impact on wild life and humans. A widely used alkylphenolethoxylates (APEs) surfactant was recently banned in Europe because scientists discovered that APE breakdown products are estrogenic and highly toxic to aquatic organisms. Nonylphenol is one such substance that has come under the focus as an environmental pollutant. However, sufficient information is not there to study the kinetic behavior of this toxic surfactant. The biodegradation process of nonylphenol is best described by Monod's model which is based on a coupled system of nonlinear differential equations. This model is based on set of kinetic parameters. It is very difficult to measure the actual biodegradation process of nonylphenol because of the unknown nature of the parameters involved and expense in measuring the states. The estimation of kinetic parameters of nonylphenol biodegradation is done by using a gradient optimization neural network estimator
Sponsorship	The Inst. of Electr. and Electron. Eng., Inc. Circuits and Syst. Soc. (IEEE CASS)
File Size	1024322
File Format	PDF
ISBN	0780393899
DOI	10.1109/ISCAS.2006.1693561
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-05-21
Publisher Place	Greece
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Biodegradation Kinetic theory Neural networks Pollution measurement Chemicals Humans Europe Electric breakdown Organisms Couplings
Content Type	Text
Resource Type	Article

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