Modeling surface tension of pure refrigerants using feed-forward back-propagation neural networks

Lecture Notes in Computer Science - Trends and Applications in Knowledge Discovery and Data Mining ◽

Ensemble Learning Model for Petroleum Reservoir Characterization: A Case of Feed-Forward Back-Propagation Neural Networks

10.1007/978-3-642-40319-4_7 ◽

2013 ◽

pp. 71-82 ◽

Cited By ~ 3

Author(s):

Fatai Anifowose ◽

Jane Labadin ◽

Abdulazeez Abdulraheem

Keyword(s):

Neural Networks ◽

Ensemble Learning ◽

Reservoir Characterization ◽

Back Propagation ◽

Learning Model ◽

Petroleum Reservoir ◽

Feed Forward ◽

2017 3rd International Conference on Computational Intelligence and Networks (CINE) ◽

Building Occupancy Detection Using Feed Forward Back-Propagation Neural Networks

10.1109/cine.2017.12 ◽

2017 ◽

Cited By ~ 1

Author(s):

Sushmita Das ◽

Aleena Swetapadma ◽

Chinmoy Panigrahi

Keyword(s):

Neural Networks ◽

Back Propagation ◽

Feed Forward ◽

Occupancy Detection ◽

Building Occupancy

Smart Trends in Computing and Communications: Proceedings of SmartCom 2020 - Smart Innovation, Systems and Technologies ◽

Design and Development of Efficient Cost-Saving Algorithms for Guiding Customer Purchasing Patterns in Modern Consumerism Scenario Using Feed Forward Back Propagation Neural Networks

10.1007/978-981-15-5224-3_47 ◽

2020 ◽

pp. 469-476

Author(s):

Sonia Maria D’Souza ◽

K. Satyanarayan Reddy

Keyword(s):

Neural Networks ◽

Cost Saving ◽

Back Propagation ◽

Design And Development ◽

Feed Forward ◽

Purchasing Patterns

2004 IEEE International Conference on Industrial Technology, 2004. IEEE ICIT '04. ◽

Nonlinear continuous time modeling of a high pressure mercury vapor discharge lamp using feed forward back-propagation neural networks

10.1109/icit.2004.1490147 ◽

2005 ◽

Cited By ~ 1

Author(s):

A. Zouidi ◽

A. Chaari ◽

M. Stambouli ◽

F. Fnaiech

Keyword(s):

Neural Networks ◽

High Pressure ◽

Continuous Time ◽

Back Propagation ◽

Mercury Vapor ◽

Feed Forward ◽

Discharge Lamp ◽

Time Modeling

Simultaneous estimation of shape factor and depth of subsurface cavities from residual gravity anomalies using feed-forward back-propagation neural networks

Acta Geophysica ◽

10.2478/s11600-012-0049-1 ◽

2012 ◽

Vol 60 (4) ◽

pp. 1043-1075 ◽

Cited By ~ 6

Author(s):

Alireza Hajian ◽

Hossein Zomorrodian ◽

Peter Styles

Keyword(s):

Neural Networks ◽

Shape Factor ◽

Back Propagation ◽

Gravity Anomalies ◽

Simultaneous Estimation ◽

Feed Forward ◽

Residual Gravity ◽

Subsurface Cavities

Effective enhancement of classification of respiratory states using feed forward back propagation neural networks

Sadhana ◽

10.1007/s12046-013-0140-6 ◽

2013 ◽

Vol 38 (3) ◽

pp. 377-395 ◽

Cited By ~ 3

Author(s):

A BHAVANI SANKAR ◽

J ARPUTHA VIJAYA SELVI ◽

D KUMAR ◽

K SEETHA LAKSHMI

Keyword(s):

Neural Networks ◽

Back Propagation ◽

Feed Forward ◽

Computational Vision and Bio Inspired Computing - Lecture Notes in Computational Vision and Biomechanics ◽

Early Detection of Lung Cancer Using Wavelet Feature Descriptor and Feed Forward Back Propagation Neural Networks Classifier

10.1007/978-3-319-71767-8_9 ◽

2018 ◽

pp. 103-110 ◽

Cited By ~ 24

Author(s):

R. Arulmurugan ◽

H. Anandakumar

Keyword(s):

Lung Cancer ◽

Neural Networks ◽

Early Detection ◽

Back Propagation ◽

Feature Descriptor ◽

Feed Forward ◽

Studies in Big Data - AI and Machine Learning Paradigms for Health Monitoring System ◽

A Novel Lossless Image Cryptosystem for Binary Images Using Feed-Forward Back-Propagation Neural Networks

10.1007/978-981-33-4412-9_34 ◽

2021 ◽

pp. 491-513

Author(s):

Harsha Vardhan Sahoo ◽

Sumitra Kisan ◽

Gargi Bhattacharjee

Keyword(s):

Neural Networks ◽

Back Propagation ◽

Feed Forward ◽

Binary Images ◽

Image Cryptosystem

Feed Forward Back Propagation Neural Networks to Classify Freeway Traffic Flow State

Traffic and Granular Flow '11 ◽

10.1007/978-3-642-39669-4_45 ◽

2013 ◽

pp. 475-488 ◽

Cited By ~ 1

Author(s):

Onur Deniz ◽

Hilmi Berk Celikoglu

Keyword(s):

Neural Networks ◽

Traffic Flow ◽

Back Propagation ◽

Flow State ◽

Freeway Traffic ◽

Feed Forward ◽

Generalized regression and feed-forward back propagation neural networks in modelling porosity from geophysical well logs

Journal of Petroleum Exploration and Production Technology ◽

10.1007/s13202-014-0137-7 ◽

2014 ◽

Vol 5 (2) ◽

pp. 157-166 ◽

Cited By ~ 13

Author(s):

Ahmed Amara Konaté ◽

Heping Pan ◽

Nasir Khan ◽

Jie Huai Yang

Keyword(s):

Neural Networks ◽

Back Propagation ◽

Well Logs ◽

Feed Forward ◽

Generalized Regression ◽

Geophysical Well Logs