摘要
提出土壤类型分析、识别的人工神经网络模型,并对黑龙江省松花江地区的土壤类型进行了研究。结果表明,该方法具有容错能力强,识别速度快的优点,可望成为土壤分类工作的有效的辅助手段。
Analysis of soil type by neural network was presented in this paper.The soil samples collected in Songhuajiang area of Heilongjiang province were studied and the success rate reached 100%.The results showed that the neural network method was available.Therefore, it mignt be referred as an effective technique for analysis of soil type.
出处
《华北农学报》
CSCD
北大核心
1994年第3期81-85,共5页
Acta Agriculturae Boreali-Sinica
关键词
土壤类型
神经网络模型
松花江地区
Soil
Songhuajiang area
Artificial neural network
Self-organization model