Research on land evaluation based on fuzzy neural network

Yaolin Liu; Molenaar Martin; Limin Jiao; Yanfang Liu

doi:10.1117/12.510895

24 February 2004 Research on land evaluation based on fuzzy neural network

Yaolin Liu, Molenaar Martin, Limin Jiao, Yanfang Liu

Proceedings Volume 5232, Remote Sensing for Agriculture, Ecosystems, and Hydrology V; (2004) https://doi.org/10.1117/12.510895
Event: Remote Sensing, 2003, Barcelona, Spain

Abstract

This paper focuses on application of artificial neural networks (ANN) in land suitability evaluation. There are some problems in applying fuzzy system to land suitability evaluation such as self-adjusting ability of the membership functions and rules of fuzzy evaluation system. In this paper, the model of fuzzy neural network is designed for land suitability evaluation. This model is the result of integrated fuzzy system and artificial neural network. This fuzzy neural network model has five layers. The learning algorithm of the model has been designed based on the principle of error back propagation of neural networks. The learning strategy, algorithm and efficiency of the model have been tested and the results of test are satisfied.

Citation Download Citation

Yaolin Liu, Molenaar Martin, Limin Jiao, and Yanfang Liu "Research on land evaluation based on fuzzy neural network", Proc. SPIE 5232, Remote Sensing for Agriculture, Ecosystems, and Hydrology V, (24 February 2004); https://doi.org/10.1117/12.510895

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