Research on land evaluation based on fuzzy neural network

被引：2
|
作者：
Liu, YL [1 ]
Molenaar, M [1 ]
Jiao, LM [1 ]
Liu, YF [1 ]
机构：
[1] Wuhan Univ, Sch Resource & Environm, Wuhan 430079, Peoples R China
来源：
REMOTE SENSING FOR AGRICULTURE, ECOSYSTEMS, AND HYDROLOGY V | 2004年 / 5232卷
关键词：
land suitability evaluation; fuzzy neural networks (FNN); fuzzy system;
D O I：
10.1117/12.510895
中图分类号：
S [农业科学];
学科分类号：
09 ;
摘要：
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.
引用
收藏
页码：565 / 574
页数：10
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