Detection of Aquatic Pollutants (Heavy Metals, Hydrocarbons and Pesticides) using Artificial Neural Network (ANN) Algorithm Program

Hala F. Hassan; .Mahmood S Hashim

Authors

Hala F. Hassan Department of Marine Biology, Marine Science Centre, University of Basrah
Mahmood S. Hashim Department of Marine Biology, Marine Science Centre, University of Basrah

Keywords:

Aquatic, Pollutants, Detection, ANN, Algorithm, Program.

Abstract

Much more accurate recognition of aquatic pollutants was detected with the use of artificial neural network (ANN) programme written using Neural Network Toolbox, version 4.0 within MATLAB 6.1 (Mathworks, Natick, MA). The ANN was trained by multiple feeding the experimental results, e.g. the responses of all three sensing channels to all 12 pollutants (Cr, As, Zn, DDT, endrin, dieldrin, Decane, Undecane, Dodecane, Naphthalene, Fluorene and Benzoperylene) in five concentrations (0.1M, 1M, 10M, 100M, and 1 mM).

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