Application of artificial neural networks instead of the orifice plate discharge coefficient

Flow Measurement and Instrumentation ◽

10.1016/j.flowmeasinst.2019.101674 ◽

2020 ◽

Vol 71 ◽

pp. 101674 ◽

Author(s):

Zh.A. Dayev

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Discharge Coefficient ◽

Orifice Plate ◽

Artificial Neural

Download Full-text

Use of artificial neural networks for prediction of discharge coefficient of triangular labyrinth side weir in curved channels

Advances in Engineering Software ◽

10.1016/j.advengsoft.2011.02.006 ◽

2011 ◽

Vol 42 (4) ◽

pp. 208-214 ◽

Author(s):

Omer Bilhan ◽

M. Emin Emiroglu ◽

Ozgur Kisi

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Discharge Coefficient ◽

Side Weir ◽

Curved Channels ◽

Artificial Neural

Download Full-text

Investigation on labyrinth spillway multi-objective optimization with an emphasis on predicting discharge coefficient through different artificial neural networks

Measurement ◽

10.1016/j.measurement.2021.109036 ◽

2021 ◽

Vol 174 ◽

pp. 109036 ◽

Author(s):

Ali Mahmoud ◽

Xiaohui Yuan ◽

Taher Hajilounezhad ◽

Yanbin Yuan

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Discharge Coefficient ◽

Multi Objective Optimization ◽

Multi Objective ◽

Artificial Neural

Download Full-text

Investigation of discharge coefficient of trapezoidal labyrinth weirs using artificial neural networks and support vector machines

Applied Water Science ◽

10.1007/s13201-019-1026-5 ◽

2019 ◽

Vol 9 (7) ◽

Author(s):

Reza Norouzi ◽

Rasoul Daneshfaraz ◽

Amir Ghaderi

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Support Vector Machines ◽

Discharge Coefficient ◽

Support Vector ◽

Vector Machines ◽

Artificial Neural ◽

Labyrinth Weirs

Download Full-text

Determination of S-N curves with the application of artificial neural networks

Fatigue & Fracture of Engineering Materials & Structures ◽

10.1046/j.1460-2695.1999.00198.x ◽

1999 ◽

Vol 22 (8) ◽

pp. 723-728 ◽

Author(s):

Artymiak ◽

Bukowski ◽

Feliks ◽

Narberhaus ◽

Zenner

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Artificial Neural

Download Full-text

Applications of artificial neural networks to adaptive training systems.

PsycEXTRA Dataset ◽

10.1037/e456072004-001 ◽

1992 ◽

Author(s):

Peter L. Rothman

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Adaptive Training ◽

Training Systems ◽

Artificial Neural

Download Full-text

Use of Artificial Neural Networks for Risk Assessment for Work and Organizational Issues

PsycEXTRA Dataset ◽

10.1037/e666722007-001 ◽

2006 ◽

Author(s):

Maria Karanika ◽

Tom Cox

Keyword(s):

Neural Networks ◽

Risk Assessment ◽

Artificial Neural Networks ◽

Organizational Issues ◽

Artificial Neural

Download Full-text

Artificial neural networks for diagnosis and prognosis in prostate cancer

Seminars in Urologic Oncology ◽

10.1053/suro.2002.32492 ◽

2002 ◽

Vol 20 (2) ◽

pp. 89-95 ◽

Author(s):

Guido Schwarzer ◽

Martin Schumacher

Keyword(s):

Prostate Cancer ◽

Neural Networks ◽

Artificial Neural Networks ◽

Diagnosis And Prognosis ◽

Artificial Neural

Download Full-text

FUTURE OF ARTIFICIAL NEURAL NETWORKS IN SPACE EXPLORATION AND SPACE ENGINEERING

Scientific Review Series 1 Economics and Law ◽

10.33051/2076-4650-2018-6-6-11 ◽

2018 ◽

pp. 6-11

Author(s):

Kobiljon Kh. Zoidov ◽

◽

Svetlana V. Ponomareva ◽

Daniel I. Serebryansky ◽

◽

...

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Space Exploration ◽

Artificial Neural

Download Full-text

Differentiation Between Mass-forming Type Peripheral Cholangiocarcinoma and Hepatic Abscesses: Application of Artificial Neural Networks to CT Images

Journal of the Korean Radiological Society ◽

10.3348/jkrs.2005.53.5.343 ◽

2005 ◽

Vol 53 (5) ◽

pp. 343 ◽

Author(s):

Nak Jong Seong ◽

Jeong Min Lee ◽

Se Hyung Kim ◽

Joon Koo Han ◽

Young Jun Kim ◽

...

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Ct Images ◽

Peripheral Cholangiocarcinoma ◽

Artificial Neural

Download Full-text

A New Model Based on Artificial Neural Networks and Game Theory for the Selection of Underground Mining Method

Физико-технические проблемы разработки полезных ископаемых ◽

10.15372/ftprpi20200108 ◽

2020 ◽

Keyword(s):

Neural Networks ◽

Game Theory ◽

Artificial Neural Networks ◽

Underground Mining ◽

Mining Method ◽

New Model ◽

Model Based ◽

Artificial Neural ◽

Download Full-text