Effectiveness of Different Artificial Neural Network Training Algorithms in Predicting Protozoa Risks in Surface Waters
Autor(en): |
T. R. Neelakantan
(Assistant Professor in Civil Engineering, Shanmugha College of Engineering, Thanjavur 613402, India; formerly, Post Doctoral Research Scholar, Dept. of Civil Engineering, Univ. of Kentucky, Lexington, KY 40506-0281.)
Srinivasa Lingireddy (Associate Professor of Civil Engineering, Univ. of Kentucky, Lexington, KY 40506-0281.) Gail M. Brion (Associate Professor of Civil Engineering, Univ. of Kentucky, Lexington, KY 40506-0281.) |
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Medium: | Fachartikel |
Sprache(n): | Englisch |
Veröffentlicht in: | Journal of Environmental Engineering (ASCE), Juni 2002, n. 6, v. 128 |
Seite(n): | 533-542 |
DOI: | 10.1061/(asce)0733-9372(2002)128:6(533) |
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10583442 - Veröffentlicht am:
08.03.2021 - Geändert am:
08.03.2021