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。
关键词:
土壤类型,
松花江地区,
人工神经网络,
自组织模型
Abstract: 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.
Key words:
Soil,
Songhuajiang area,
Artificial neural network,
Self-organization model
中图分类号:
蔡煜东, 许伟杰. 土壤类型分析的自组织人工神经网络模型[J]. 华北农学报, 1994, 9(3): 81-85. doi: 10.3321/j.issn:1000-7091.1994.03.018.
Cai Yudong, Xu Weijie. Artificial Neural Network Model for Analysis of Soil Type[J]. ACTA AGRICULTURAE BOREALI-SINICA, 1994, 9(3): 81-85. doi: 10.3321/j.issn:1000-7091.1994.03.018.