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Applied Economics Letters Volume 15, 2008 - Issue 8
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Original Articles

On the approximation of production functions: a comparison of artificial neural networks frontiers and efficiency techniques

Daniel Santin Department of Applied Economics VI, Complutense University of Madrid, Campus de Somosaguas 28223, Pozuelo de Alarcon, Madrid, SpainCorrespondence[email protected]
Pages 597-600 | Published online: 26 Jun 2008

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Alireza Fallahpour, Atefeh Amindoust, Jurgita Antuchevičienė & Morteza Yazdani. (2017) Nonlinear genetic-based model for supplier selection: a comparative study. Technological and Economic Development of Economy 23:1, pages 178-195.
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Articles from other publishers (26)

Sunil Kumar Jauhar, Hossein Zolfagharinia & Saman Hassanzadeh Amin. (2022) A DEA-ANN-based analytical framework to assess and predict the efficiency of Canadian universities in a service supply chain context. Benchmarking: An International Journal 30:8, pages 2734-2782.
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Mohamed El-Sayed Mousa & Mahmoud Abdelrahman Kamel. (2021) An integrated framework for predicting the best financial performance of banks: evidence from Egypt. Journal of Modelling in Management 17:3, pages 964-986.
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Tina Gegovska, Rasit Koker & Tarik Cakar. (2020) Green Supplier Selection Using Fuzzy Multiple-Criteria Decision-Making Methods and Artificial Neural Networks. Computational Intelligence and Neuroscience 2020, pages 1-26.
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Akash Tayal, Utku Kose, Arun Solanki, Anand Nayyar & José Antonio Marmolejo Saucedo. (2019) Efficiency analysis for stochastic dynamic facility layout problem using meta‐heuristic, data envelopment analysis and machine learning. Computational Intelligence 36:1, pages 172-202.
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Tomàš Brabenec & Petr Šuleř. (2020) Machine learning forecasting of CR and PRC balance of trade. SHS Web of Conferences 73, pages 01004.
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J. Vrbka & Z. Rowland. 2020. Digital Age: Chances, Challenges and Future. Digital Age: Chances, Challenges and Future 422 429 .
J. Vrbka, J. Horák & V. Machová. (2019) Using Artificial Neural Networks for Equalizing Time Series Considering Seasonal Fluctuations. SHS Web of Conferences 71, pages 01003.
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Veronika Machová & Marek Vochozka. (2019) Analysis of business companies based on artificial neural networks. SHS Web of Conferences 61, pages 01013.
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Jakub Horák & Tomáš Krulický. (2019) Comparison of exponential time series alignment and time series alignment using artificial neural networks by example of prediction of future development of stock prices of a specific company. SHS Web of Conferences 61, pages 01006.
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Jakub Horák. (2019) Using artificial intelligence to analyse businesses in agriculture industry. SHS Web of Conferences 61, pages 01005.
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V. Machová & M. Vochozka. 2019. Sustainable Growth and Development of Economic Systems. Sustainable Growth and Development of Economic Systems 235 245 .
M. Vochozka & J. Horák. 2019. Sustainable Growth and Development of Economic Systems. Sustainable Growth and Development of Economic Systems 169 181 .
He-Boong Kwon, Jooh Lee & Kristyn N White Davis. (2018) Neural network modeling for a two-stage production process with versatile variables: Predictive analysis for above-average performance. Expert Systems with Applications 100, pages 120-130.
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He-Boong Kwon, Jon H. Marvel & James Jungbae Roh. (2017) Three-stage performance modeling using DEA–BPNN for better practice benchmarking. Expert Systems with Applications 71, pages 429-441.
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Jaromír Vrbka & Zuzana Rowland. (2017) Stock price development forecasting using neural networks. SHS Web of Conferences 39, pages 01032.
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He-Boong Kwon. (2017) Exploring the predictive potential of artificial neural networks in conjunction with DEA in railroad performance modeling. International Journal of Production Economics 183, pages 159-170.
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Jooh Lee & He-Boong Kwon. (2017) Progressive performance modeling for the strategic determinants of market value in the high-tech oriented SMEs. International Journal of Production Economics 183, pages 91-102.
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Michael I. C. Nwogugu. 2016. Illegal Online File Sharing, Decision-Analysis, and the Pricing of Digital Goods. Illegal Online File Sharing, Decision-Analysis, and the Pricing of Digital Goods 239 280 .
He-Boong Kwon, James Jungbae Roh & Nicholas Miceli. (2016) Better practice prediction using neural networks: an application to the smartphone industry. Benchmarking: An International Journal 23:3, pages 519-539.
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Alireza Fallahpour, Ezutah Udoncy Olugu, Siti Nurmaya Musa, Dariush Khezrimotlagh & Kuan Yew Wong. (2015) An integrated model for green supplier selection under fuzzy environment: application of data envelopment analysis and genetic programming approach. Neural Computing and Applications 27:3, pages 707-725.
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He-Boong Kwon & Jooh Lee. (2015) Two-stage production modeling of large U.S. banks: A DEA-neural network approach. Expert Systems with Applications 42:19, pages 6758-6766.
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He-Boong Kwon. (2014) Performance modeling of mobile phone providers: a DEA-ANN combined approach. Benchmarking: An International Journal 21:6, pages 1120-1144.
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Hsiang-Hsi Liu, Tser-Yieth Chen, Yung-Ho Chiu & Fu-Hsiang Kuo. (2013) A Comparison of Three-Stage DEA and Artificial Neural Network on the Operational Efficiency of Semi-Conductor Firms in Taiwan. Modern Economy 04:01, pages 20-31.
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Panayotis G. Michaelides, Angelos T. Vouldis & Efthymios G. Tsionas. (2010) Globally flexible functional forms: The neural distance function. European Journal of Operational Research 206:2, pages 456-469.
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Hong Kang & Yuan-Cheng Hu. (2010) Notice of Retraction: Designing an early warning system of sovereign debt crises using Bp neural networks. Notice of Retraction: Designing an early warning system of sovereign debt crises using Bp neural networks.
Helper Zhou, Gordon H. Dash & Nina Kajiji. (2021) Artificial Intelligence Function Mapping to Calibrate the Determinants of SMME Performance. SSRN Electronic Journal.
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