Artificial Neural Networks for the Management of Dokan Reservoir Operation Under Stochastic Conditions
نویسندگان
چکیده
منابع مشابه
Application of Artificial Neural Networks for Analysis of Flexible Pavements under Static Loading of Standard Axle
In this study, an artificial neural network was developed in order to analyze flexible pavement structure and determine its critical responses under the influence of standard axle loading. In doing so, more than 10000 four-layered flexible pavement sections composed of asphalt concrete layer, base layer, subbase layer, and subgrade soil were analyzed under the impact of standard axle loading. P...
متن کاملPrediction of Sediment Deposition in Reservoir Using Artificial Neural Networks
The use of art ificial neural network (ANN)modeling for prediction and forecast ing variables in water resources engineering are being increasing rapidly Infrastructural applicat ions of ANN in terms of selection of inputs, architecture of networks, training algorithms, and selection of training parameters indifferent types of neural networks used in water resources engineering have been report...
متن کاملPrediction of polyvinyl alcohol (PVOH) properties synthesized at various conditions by artificial neural networks technique
In this research samples of PVOH were synthesized at various reaction conditions (temperature, time, and amount of catalyst). First at 25˚C and 45˚C and constant catalyst weight samples of PVOH were prepared with different degree of hydrolysis at various times. For investigation of the effects of temperature, at times 20 and 40 min and constant weight of catalyst PVOH was prepared at various te...
متن کاملEfficient Parameters Selection for CNTFET Modelling Using Artificial Neural Networks
In this article different types of artificial neural networks (ANN) were used for CNTFET (carbon nanotube transistors) simulation. CNTFET is one of the most likely alternatives to silicon transistors due to its excellent electronic properties. In determining the accurate output drain current of CNTFET, time lapsed and accuracy of different simulation methods were compared. The training data for...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: DEStech Transactions on Environment, Energy and Earth Sciences
سال: 2018
ISSN: 2475-8833
DOI: 10.12783/dteees/epee2017/18151