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Fuzzy nonlinear regression using artificial neural networks. (English) Zbl 1359.62313

Summary: Fuzzy linear regression analysis with symmetric triangular fuzzy number coefficient has been introduced by Tanaka et al. In this work we propose to approximate the fuzzy nonlinear regression using Artificial Neural Networks. The working of the proposed method is illustrated by the case study with the data for temperature and evaporation for the IARI New Delhi division.

MSC:

62J86 Fuzziness, and linear inference and regression
62J02 General nonlinear regression
68T05 Learning and adaptive systems in artificial intelligence
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