✦ LIBER ✦

An explicit approach for modelling closed pipes in water networks

✍ Scribed by Paul F. Boulos; Tom Altman

Publisher: Elsevier Science
Year: 1993
Tongue: English
Weight: 830 KB
Volume: 17
Category: Article
ISSN: 0307-904X
DOI: 10.1016/0307-904x(93)90119-2

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Network design for reverse and closed-lo

Network design for reverse and closed-loop supply chains: An annotated bibliography of models and solution approaches

✍ E. Akçalı; S. Çetinkaya; H. Üster 📂 Article 📅 2009 🏛 John Wiley and Sons 🌐 English ⚖ 165 KB

A neural network approach for prediction

A neural network approach for prediction of critical submergence of an intake in still water and open channel flow for permeable and impermeable bottom

✍ Fikret Kocabaş; Serap Ünal; Burhan Ünal 📂 Article 📅 2008 🏛 Elsevier Science 🌐 English ⚖ 496 KB

Free air-core vortex occurring at a water-intake pipe is an important problem encountered in hydraulic engineering. When the submergence of the intake pipe is not sufficient, air enters the pipe and reduction in discharge occurs. The most common solution for avoiding air entrainment is to provide su

Toward an Optimal Approach for Variable

Toward an Optimal Approach for Variable Selection in Counter-Propagation Neural Networks: Modeling Protein-Tyrosine Kinase Inhibitory of Flavanoids Using Substituent Electronic Descriptors

✍ Bahram Hemmateenejad ; Ahmadreza Mehdipour; Omar Deeb; Mahmood Sanchooli; Ramin 📂 Article 📅 2011 🏛 Wiley (John Wiley & Sons) 🌐 English ⚖ 431 KB

## Abstract Counter propagation neural network (CPNN) is one of the attractive tools of classification in QSAR studies. A major obstacle in classification by CPNN is finding the best subset of variables. In this study, the performance of some different feature selection algorithms including F score