Artificial neural network model for real-time prediction of the rate of penetration while horizontally drilling natural gas-bearing sandstone formations

Natural Gas ◽

Real Time ◽

Network Model ◽

Neural Network Model ◽

Rate Of Penetration ◽

Time Prediction ◽

Gas Bearing

Basic Study on Real-time Prediction of Meteotsunami Using Artificial Neural Network Model Calibrated by Stationary Measurement Data

Asian and Pacific Coasts 2017 ◽

10.1142/9789813233812_0027 ◽

2017 ◽

Cited By ~ 1

Author(s):

S. Nakajo ◽

R. Yamaguchi ◽

S. Kim ◽

G. Tsujimoto

Keyword(s):

Neural Network ◽

Real Time ◽

Network Model ◽

Neural Network Model ◽

Measurement Data ◽

Basic Study ◽

Time Prediction ◽

Stationary Measurement

Real-Time Prediction of Electricity Distribution Network Status Using Artificial Neural Network Model: A Case Study in Salihli (Manisa, Turkey)

Celal Bayar Üniversitesi Fen Bilimleri Dergisi ◽

10.18466/cbayarfbe.740343 ◽

2020 ◽

Author(s):

Mahmut SAYAR ◽

Hilmi YÜKSEL

Keyword(s):

Neural Network ◽

Real Time ◽

Network Model ◽

Neural Network Model ◽

Electricity Distribution ◽

Time Prediction ◽

Network Status

Systematic Development of an Artificial Neural Network Model for Real-Time Prediction of Ground-Level Ozone in Edmonton, Alberta, Canada

Journal of the Air & Waste Management Association ◽

10.1080/10473289.2005.10464780 ◽

2005 ◽

Vol 55 (12) ◽

pp. 1847-1857 ◽

Cited By ~ 4

Author(s):

Diane S. Wirtz ◽

Mohamed Gamal El-Din ◽

Ahmed G. El-Din ◽

Ahmed Idriss

Keyword(s):

Neural Network ◽

Real Time ◽

Network Model ◽

Neural Network Model ◽

Ground Level ◽

Ground Level Ozone ◽

Time Prediction ◽

Systematic Development

Artificial Neural Network Model for Prediction of Drilling Rate of Penetration and Optimization of Parameters

Journal of the Japan Petroleum Institute ◽

10.1627/jpi.57.65 ◽

2014 ◽

Vol 57 (2) ◽

pp. 65-70 ◽

Cited By ~ 16

Author(s):

Mahmood Bataee ◽

Sonny Irawan ◽

Mohammadreza Kamyab

Keyword(s):

Neural Network ◽

Network Model ◽

Neural Network Model ◽

Drilling Rate ◽

Optimization Of Parameters ◽

Rate Of Penetration ◽

Proceedings. The 7th International IEEE Conference on Intelligent Transportation Systems (IEEE Cat. No.04TH8749) ◽

Bus arrival time prediction using artificial neural network model

10.1109/itsc.2004.1399041 ◽

2005 ◽

Cited By ~ 51

Author(s):

R. Jeong ◽

R. Rilett

Keyword(s):

Neural Network ◽

Network Model ◽

Neural Network Model ◽

Arrival Time ◽

Time Prediction ◽

Artificial Neural ◽

Arrival Time Prediction ◽

Bus Arrival Time Prediction

Mixing time prediction with artificial neural network model

Chemical Engineering Science ◽

10.1016/j.ces.2021.116949 ◽

2021 ◽

pp. 116949

Author(s):

Jolanta Szoplik ◽

Marta Ciuksza

Keyword(s):

Neural Network ◽

Network Model ◽

Neural Network Model ◽

Mixing Time ◽

Time Prediction ◽

Sustainable personnel scheduling supported by an artificial neural network model in a natural gas combined cycle power plant

International Journal of Energy Research ◽

10.1002/er.5480 ◽

2020 ◽

Vol 44 (9) ◽

pp. 7525-7547 ◽

Cited By ~ 3

Author(s):

Emir Hüseyin Özder ◽

Evrencan Özcan ◽

Tamer Eren

Keyword(s):

Neural Network ◽

Power Plant ◽

Natural Gas ◽

Network Model ◽

Neural Network Model ◽

Combined Cycle ◽

Personnel Scheduling ◽

Natural Gas Combined Cycle

AN APPROACH ON EVALUATING THE PRE-PROCESSING OF RAINFALL AND RUNOFF DATA IN AN ARTIFICIAL NEURAL NETWORK MODEL FOR REAL-TIME FORECASTING

Hydroinformatics ◽

10.1142/9789812702838_0166 ◽

2004 ◽

pp. 1345-1352 ◽

Cited By ~ 1

Author(s):

G. CERDA-VILLAFANA ◽

I. D. CLUCKIE ◽

D. HAN

Keyword(s):

Neural Network ◽

Real Time ◽

Network Model ◽

Neural Network Model ◽

A GIS-Based Artificial Neural Network Model to Assess Building Location Potential to Harvest Solar Energy

Construction Research Congress 2020 ◽

10.1061/9780784482858.069 ◽

2020 ◽

Author(s):

M. Ammar Alzarrad ◽

Muhammad T. Hatamleh

Keyword(s):

Neural Network ◽

Solar Energy ◽

Network Model ◽

Neural Network Model ◽

Artificial Neural Network Model for Prediction of Latent Heat Flux over Bay of Bengal

International Journal of Computer Sciences and Engineering ◽

10.26438/ijcse/v7i5.901905 ◽

2019 ◽

Vol 7 (5) ◽

pp. 901-905

Author(s):

Kanchan. V. Shende ◽

Vishal S. Shirsat ◽

M. R. Ramesh Kumar ◽

K.V. Kale

Keyword(s):

Neural Network ◽

Heat Flux ◽

Latent Heat ◽

Latent Heat Flux ◽

Network Model ◽

Neural Network Model ◽

Bay Of Bengal ◽