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Effectiveness of Different Artificial Neural Network Training Algorithms in Predicting Protozoa Risks in Surface Waters

Author(s): (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.)
(Associate Professor of Civil Engineering, Univ. of Kentucky, Lexington, KY 40506-0281.)
(Associate Professor of Civil Engineering, Univ. of Kentucky, Lexington, KY 40506-0281.)
Medium: journal article
Language(s): English
Published in: Journal of Environmental Engineering (ASCE), , n. 6, v. 128
Page(s): 533-542
DOI: 10.1061/(asce)0733-9372(2002)128:6(533)
Structurae cannot make the full text of this publication available at this time. The full text can be accessed through the publisher via the DOI: 10.1061/(asce)0733-9372(2002)128:6(533).
  • About this
    data sheet
  • Reference-ID
    10583442
  • Published on:
    08/03/2021
  • Last updated on:
    08/03/2021
 
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