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Proceedings Paper

Research on land evaluation based on fuzzy neural network
Author(s): Yaolin Liu; Molenaar Martin; Limin Jiao; Yanfang Liu
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Paper 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.

Paper Details

Date Published: 24 February 2004
PDF: 10 pages
Proc. SPIE 5232, Remote Sensing for Agriculture, Ecosystems, and Hydrology V, (24 February 2004); doi: 10.1117/12.510895
Show Author Affiliations
Yaolin Liu, Wuhan Univ. (China)
Molenaar Martin, International Institute for Geo-Information Science and Earth Observation (Netherlands)
Limin Jiao, Wuhan Univ. (China)
Yanfang Liu, Wuhan Univ. (China)


Published in SPIE Proceedings Vol. 5232:
Remote Sensing for Agriculture, Ecosystems, and Hydrology V
Manfred Owe; Guido D'Urso; Jose F. Moreno; Alfonso Calera, Editor(s)

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