Industrial Engineering, Group of Industrial Engineering, Ayatollah Haeri University of Meybod, Meybod, Iran
Abstract
In this paper, a new approach of modeling for Artificial Neural Networks (ANNs) models based on the concepts of fuzzy regression is proposed. For this purpose, we reformulated ANN model as a fuzzy nonlinear regression model while it has advantages of both fuzzy regression and ANN models. Hence, it can be applied to uncertain, ambiguous, or complex environments due to its flexibility for forecasting purposes.
Neshat, N. (2015). An Approach of Artificial Neural Networks Modeling Based on Fuzzy Regression for Forecasting Purposes. International Journal of Engineering, 28(11), 1651-1655.
MLA
Najmeh Neshat. "An Approach of Artificial Neural Networks Modeling Based on Fuzzy Regression for Forecasting Purposes". International Journal of Engineering, 28, 11, 2015, 1651-1655.
HARVARD
Neshat, N. (2015). 'An Approach of Artificial Neural Networks Modeling Based on Fuzzy Regression for Forecasting Purposes', International Journal of Engineering, 28(11), pp. 1651-1655.
VANCOUVER
Neshat, N. An Approach of Artificial Neural Networks Modeling Based on Fuzzy Regression for Forecasting Purposes. International Journal of Engineering, 2015; 28(11): 1651-1655.
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