✦ LIBER ✦

Source tracking of microbial intrusion in water systems using artificial neural networks

✍ Scribed by Minyoung Kim; Christopher Y. Choi; Charles P. Gerba

Book ID: 116971644
Publisher: IWA Publishing
Year: 2008
Tongue: English
Weight: 310 KB
Volume: 42
Category: Article
ISSN: 0043-1354
DOI: 10.1016/j.watres.2007.09.032

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Source tracking of microbial intrusion i

Source tracking of microbial intrusion in water systems using artificial neural networks

✍ Minyoung Kim; Christopher Y. Choi; Charles P. Gerba 📂 Article 📅 2008 🏛 IWA Publishing 🌐 English ⚖ 310 KB

Prediction of Phase Behavior in Microemu

Prediction of Phase Behavior in Microemulsion Systems Using Artificial Neural Networks

✍ C.J. Richardson; A. Mbanefo; R. Aboofazeli; M.J. Lawrence; D.J. Barlow 📂 Article 📅 1997 🏛 Elsevier Science 🌐 English ⚖ 450 KB

Preliminary investigations have been conducted to assess the potential for using (back-propagation, feed-forward) artificial neural networks to predict the phase behavior of quaternary microemulsion-forming systems, with a view to employing this type of methodology in the evaluation of novel cosurfa

Neural networks for control in an artifi

Neural networks for control in an artificial brain of a recognition and tracking system

✍ M. Sugisaka; N. Tonoya; T. Furuta 📂 Article 📅 1998 🏛 Springer Japan 🌐 English ⚖ 229 KB

The quantification of pollutants in drin

The quantification of pollutants in drinking water by use of artificial neural networks

✍ Michael Cauchi; Luca Bianco; Conrad Bessant 📂 Article 📅 2010 🏛 Springer Netherlands 🌐 English ⚖ 368 KB

00/02718 Long-term performance predictio

00/02718 Long-term performance prediction of forced circulation solar domestic water heating systems using artificial neural networks

📂 Article 📅 2000 🏛 Elsevier Science ⚖ 217 KB

Tracking the states of a nonlinear and n

Tracking the states of a nonlinear and nonstationary system in the weight-space of artificial neural networks

✍ T. Emoto; M. Akutagawa; U. R. Abeyratne; H. Nagashino; Y. Kinouchi 📂 Article 📅 2006 🏛 Springer 🌐 English ⚖ 882 KB