نتایج جستجو برای Artificial Neural Network

تعداد نتایج: 708147  

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه سیستان و بلوچستان - دانشکده مهندسی عمران 1391

today, scouring is one of the important topics in the river and coastal engineering so that the most destruction in the bridges is occurred due to this phenomenon. whereas the bridges are assumed as the most important connecting structures in the communications roads in the country and their importance is doubled while floodwater, thus exact design and maintenance thereof is very crucial. f...

Journal: Gas Processing 2013

  Abstract: In this paper, Artificial Neural Network (ANN) was used for modeling the nonlinear structure of a debutanizer column in a refinery gas process plant. The actual input-output data of the system were measured in order to be used for system identification based on root mean square error (RMSE) minimization approach. It was shown that the designed recurrent neural network is able to pr...

ژورنال: علوم آب و خاک 2019

Estimation of evapotranspiration is essential for planning, designing and managing irrigation and drainage schemes, as well as water resources management. In this research, artificial neural networks, neural network wavelet model, multivariate regression and Hargreaves' empirical method were used to estimate reference evapotranspiration in order to determine the best model in terms of efficienc...

2009
Felix Breitenecker, Inge Troch, Ronald Thenius, Thomas Schmickl, Karl Crailsheim,

s of conference contributions to MATHMOD 09 are published in Proceedings MATHMOD 09 Vienna – Abstract Volume, ISBN 978-3-901608-34-6 Das Werk ist urheberrechtlich geschützt. Die dadurch begründeten Rechte, insbesondere die der Übersetzung, des Nachdrucks, der Entnahme von Abbildungen, der Funksendung, der Wiedergabe auf photomechanischem oder ähnlichem Weg und der Speicherung in Datenverarbeitu...

2017

A neural network is a powerful data modeling tool that is able to capture and represent complex input/output relationships. Imagine the power of the machine which has the abilities of both computers and humans. It would be the most remarkable thing ever. A neural network usually involves a large number of processors operating in parallel, each with its own small sphere of knowledge and access t...

2017

A neural network is a powerful data modeling tool that is able to capture and represent complex input/output relationships. Imagine the power of the machine which has the abilities of both computers and humans. It would be the most remarkable thing ever. A neural network usually involves a large number of processors operating in parallel, each with its own small sphere of knowledge and access t...

2017

A team of researchers at Google's DeepMind Technologies has been working on a means to increase the capabilities of computers by combining aspects of data processing and artificial intelligence and have come up with what they are calling a differentiable neural computer (DNC.) In their paper published in the journal Nature, they describe the work they are doing and where they believe it is head...

2017

A neural network is a powerful data modeling tool that is able to capture and represent complex input/output relationships. Imagine the power of the machine which has the abilities of both computers and humans. It would be the most remarkable thing ever. A neural network usually involves a large number of processors operating in parallel, each with its own small sphere of knowledge and access t...

Afsaneh Narooei, Ali Hosseinian naeini, Heydar Maddah, Jafar Baghbani Arani, Reza Aghayari,

Heat transfer fluids have inherently low thermal conductivity that greatly limits the heat exchange efficiency. While the effectiveness of extending surfaces and redesigning heat exchange equipments to increase the heat transfer rate has reached a limit, many research activities have been carried out attempting to improve the thermal transport properties of the fluids by adding more thermally c...

C. S. Nwaouzru, O. E. Charles-Owaba, V. O. Oladokun,

This study shows the usefulness of Artificial Neural Network (ANN) in maintenance planning and man-agement. An ANN model based on the multi-layer perceptron having three hidden layers and four processing elements per layer was built to predict the expected downtime resulting from a breakdown or a maintenance activity. The model achieved an accuracy of over 70% in predicting the expected downtime.

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