Abbasi, M., Ghomashi, A. (2019). A Recurrent Neural Network Model for solving CCR Model in Data Envelopment Analysis. Iranian Journal of Optimization, 11(1), 1-7.

Masomeh Abbasi; Abbas Ghomashi. "A Recurrent Neural Network Model for solving CCR Model in Data Envelopment Analysis". Iranian Journal of Optimization, 11, 1, 2019, 1-7.

Abbasi, M., Ghomashi, A. (2019). 'A Recurrent Neural Network Model for solving CCR Model in Data Envelopment Analysis', Iranian Journal of Optimization, 11(1), pp. 1-7.

Abbasi, M., Ghomashi, A. A Recurrent Neural Network Model for solving CCR Model in Data Envelopment Analysis. Iranian Journal of Optimization, 2019; 11(1): 1-7.

A Recurrent Neural Network Model for solving CCR Model in Data Envelopment Analysis

^{1}Department of Mathematics,Kermanshah Branch, Islamic Azad University, Kermanshah,Iran

^{2}Department of Mathematics, Kermanshah Branch, Islamic Azad University, Kermanshah, Iran

Receive Date: 20 November 2017,
Revise Date: 29 March 2018,
Accept Date: 24 April 2018

Abstract

In this paper, we present a recurrent neural network model for solving CCR Model in Data Envelopment Analysis (DEA). The proposed neural network model is derived from an unconstrained minimization problem. In the theoretical aspect, it is shown that the proposed neural network is stable in the sense of Lyapunov and globally convergent to the optimal solution of CCR model. The proposed model has a single-layer structure. A numerical example shows that the proposed model is effective to solve CCR model in DEA.

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