Unveiling the endogeneity between social-welfare and labor efficiency: Two-stage NDEA neural network approach

Socio-Economic Planning Sciences ◽

10.1016/j.seps.2021.101026 ◽

2021 ◽

pp. 101026

Author(s):

Ricardo Kalil Moraes ◽

Peter Fernandes Wanke ◽

João Ricardo Faria

Keyword(s):

Neural Network ◽

Social Welfare ◽

Network Approach ◽

Two Stage ◽

Neural Network Approach ◽

Labor Efficiency

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Predicting mobile government service continuance: A two-stage structural equation modeling-artificial neural network approach

Government Information Quarterly ◽

10.1016/j.giq.2021.101654 ◽

2021 ◽

pp. 101654

Author(s):

Li Xiong ◽

Houcai Wang ◽

Chengwen Wang

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Structural Equation Modeling ◽

Structural Equation ◽

Equation Modeling ◽

Network Approach ◽

Government Service ◽

Two Stage ◽

Neural Network Approach ◽

Artificial Neural Network Approach

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A two-stage neural network approach for ARMA model identification with ESACF

Decision Support Systems ◽

10.1016/0167-9236(94)90019-1 ◽

1994 ◽

Vol 11 (5) ◽

pp. 461-479 ◽

Author(s):

Jae Kyu Lee ◽

Won Chul Jhee

Keyword(s):

Neural Network ◽

Model Identification ◽

Network Approach ◽

Two Stage ◽

Neural Network Approach

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A two-stage neural network approach for process variance change detection and classification

International Journal of Production Research ◽

10.1080/002075499191148 ◽

1999 ◽

Vol 37 (7) ◽

pp. 1581-1599 ◽

Author(s):

S. I. Chang ◽

E.S. Ho

Keyword(s):

Neural Network ◽

Change Detection ◽

Network Approach ◽

Two Stage ◽

Neural Network Approach ◽

Variance Change ◽

Process Variance

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Two-stage production modeling of large U.S. banks: A DEA-neural network approach

Expert Systems with Applications ◽

10.1016/j.eswa.2015.04.062 ◽

2015 ◽

Vol 42 (19) ◽

pp. 6758-6766 ◽

Author(s):

He-Boong Kwon ◽

Jooh Lee

Keyword(s):

Neural Network ◽

Network Approach ◽

Two Stage ◽

Neural Network Approach ◽

Production Modeling

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Two-stage hybrid sem-neural network approach and Van city residents’ perception of brand

Journal of Statistics and Management Systems ◽

10.1080/09720510.2021.1914429 ◽

2021 ◽

pp. 1-32

Author(s):

Sanem Şehrïbanoğlu ◽

Murat Canayaz ◽

Emine Cïhangiṙ

Keyword(s):

Neural Network ◽

Network Approach ◽

Two Stage ◽

Neural Network Approach

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Texture classification using a two-stage neural network approach

Proceedings of 1993 International Conference on Neural Networks (IJCNN-93-Nagoya, Japan) ◽

10.1109/ijcnn.1993.714161 ◽

2005 ◽

Author(s):

P.P. Raghu ◽

R. Poongodi ◽

B. Yegnanarayana

Keyword(s):

Neural Network ◽

Texture Classification ◽

Network Approach ◽

Two Stage ◽

Neural Network Approach

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Two-Stage Neural Network Approach to Precise 24-Hour Load Pattern Prediction

Lecture Notes in Computer Science - Hybrid Artificial Intelligence Systems ◽

10.1007/978-3-642-02319-4_39 ◽

2009 ◽

pp. 327-335 ◽

Author(s):

Krzysztof Siwek ◽

Stanislaw Osowski

Keyword(s):

Neural Network ◽

Network Approach ◽

Two Stage ◽

Neural Network Approach ◽

Load Pattern ◽

Pattern Prediction

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Two-stage series-based neural network approach to nonlinear independent component analysis

2006 IEEE International Conference on Acoustics Speed and Signal Processing Proceedings ◽

10.1109/iscas.2006.1693644 ◽

2006 ◽

Author(s):

P. Gao ◽

L.C. Khor ◽

W.L. Woo ◽

S.S. Dlay

Keyword(s):

Neural Network ◽

Independent Component Analysis ◽

Component Analysis ◽

Independent Component ◽

Network Approach ◽

Two Stage ◽

Neural Network Approach

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The psychopharmacology of latent inhibition: A neural network approach

PsycEXTRA Dataset ◽

10.1037/e536982012-744 ◽

1997 ◽

Author(s):

Nestor A. Schmajuk ◽

Catalin V. Buhusi ◽

Jeffrey A. Gray

Keyword(s):

Neural Network ◽

Latent Inhibition ◽

Network Approach ◽

Neural Network Approach

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Escape and Avoidance Revisited: A Neural Network Approach

PsycEXTRA Dataset ◽

10.1037/e665412011-065 ◽

1992 ◽

Author(s):

Nestor A. Schmajuk ◽

David Urry

Keyword(s):

Neural Network ◽

Network Approach ◽

Neural Network Approach

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