Enhanced Deep Feed Forward Neural Network Model for the Customer Attrition Analysis in Banking Sector

Feed Forward ◽

Customer Attrition ◽

Attrition Analysis

Solving infinite-horizon optimalcontrol problems of the time-delayedsystems by a feed forward neural network model

Network Computation in Neural Systems ◽

10.1080/0954898x.2021.1884762 ◽

2021 ◽

pp. 1-28

Author(s):

Alireza Nazemi ◽

Ensieh Fayyazi

Keyword(s):

Neural Network ◽

Network Model ◽

Neural Network Model ◽

Infinite Horizon ◽

Two-layer tree-connected feed-forward neural network model for neural cryptography

Physical Review E ◽

10.1103/physreve.87.032811 ◽

2013 ◽

Vol 87 (3) ◽

Cited By ~ 3

Author(s):

Xinyu Lei ◽

Xiaofeng Liao ◽

Fei Chen ◽

Tingwen Huang

Keyword(s):

Neural Network ◽

Network Model ◽

Neural Network Model ◽

Modeling multi layer feed-forward neural network model on the influence of hypertension and diabetes mellitus on family history of heart attack in male patients

Applied Mathematical Sciences ◽

10.12988/ams.2013.13184 ◽

2013 ◽

Vol 7 ◽

pp. 2047-2053

Author(s):

Norizan Mohamed ◽

Wan Muhamad Amir W Ahmad ◽

Nor Azlida Aleng ◽

Maiza Hura Ahmad

Keyword(s):

Neural Network ◽

Diabetes Mellitus ◽

Family History ◽

Network Model ◽

Neural Network Model ◽

Heart Attack ◽

Feed Forward ◽

History Of ◽

Male Patients

Feed-forward neural network model for hunger and satiety related VAS score prediction

Theoretical Biology and Medical Modelling ◽

10.1186/s12976-016-0043-4 ◽

2016 ◽

Vol 13 (1) ◽

Cited By ~ 3

Author(s):

Shaji Krishnan ◽

Henk F. J. Hendriks ◽

Merete L. Hartvigsen ◽

Albert A. de Graaf

Keyword(s):

Neural Network ◽

Network Model ◽

Neural Network Model ◽

Feed Forward ◽

Vas Score

The feed forward neural network model for liquid-liquid extraction and separation of cobalt (II) from sodium acetate media using cyanex 272

10.1063/1.4978087 ◽

2017 ◽

Author(s):

Sudibyo ◽

B. B. Aji ◽

S. Priyanto

Keyword(s):

Neural Network ◽

Network Model ◽

Neural Network Model ◽

Sodium Acetate ◽

Liquid Extraction ◽

Feed Forward ◽

Extraction And Separation ◽

Cyanex 272 ◽

Liquid Liquid Extraction

Spike-timing computation properties of a feed-forward neural network model

Frontiers in Computational Neuroscience ◽

10.3389/fncom.2014.00005 ◽

2014 ◽

Vol 8 ◽

Cited By ~ 3

Author(s):

Drew B. Sinha ◽

Noah M. Ledbetter ◽

Dennis L. Barbour

Keyword(s):

Neural Network ◽

Network Model ◽

Neural Network Model ◽

Spike Timing ◽

Application of artificial intelligence in predicting the dynamics of bottom hole pressure for under-balanced drilling: Extra tree compared with feed forward neural network model

Petroleum ◽

10.1016/j.petlm.2021.03.001 ◽

2021 ◽

Author(s):

Emmanuel E. Okoro ◽

Tamunotonjo Obomanu ◽

Samuel E. Sanni ◽

David I. Olatunji ◽

Paul Igbinedion

Keyword(s):

Neural Network ◽

Artificial Intelligence ◽

Network Model ◽

Neural Network Model ◽

Feed Forward ◽

Hole Pressure ◽

Bottom Hole Pressure ◽

Bottom Hole

Discrete Wavelet Transmission and Modified PSO with ACO Based Feed Forward Neural Network Model for Brain Tumour Detection

Computers Materials & Continua ◽

10.32604/cmc.2020.011710 ◽

2020 ◽

Vol 65 (2) ◽

pp. 1081-1096

Author(s):

Machiraju Jayalakshmi ◽

S. Nagaraja Rao

Keyword(s):

Neural Network ◽

Brain Tumour ◽

Network Model ◽

Neural Network Model ◽

Discrete Wavelet ◽

Feed Forward ◽

Tumour Detection ◽

Modified Pso

A multi-layer feed forward neural network model for accurate prediction of flue gas sulfuric acid dew points in process industries

Applied Thermal Engineering ◽

10.1016/j.applthermaleng.2009.11.017 ◽

2010 ◽

Vol 30 (6-7) ◽

pp. 692-696 ◽

Cited By ~ 43

Author(s):

Bahman ZareNezhad ◽

Ali Aminian

Keyword(s):

Neural Network ◽

Sulfuric Acid ◽

Network Model ◽

Neural Network Model ◽

Flue Gas ◽

Accurate Prediction ◽

Process Industries ◽

Application of feed forward neural network model to predict the limiting current of tin magneto electrodeposition

IOP Conference Series Materials Science and Engineering ◽

10.1088/1757-899x/1011/1/012005 ◽

2021 ◽

Vol 1011 ◽

pp. 012005

Author(s):

Sudibyo ◽

N Aziz ◽

A Wijaya ◽

R S Fathona

Keyword(s):

Neural Network ◽

Network Model ◽

Neural Network Model ◽

Limiting Current ◽