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径向基人工神经网络法在土壤盐渍化调查中的应用 被引量:1

Application of Radial Base Function Artificial Neural Network in Investigation of Soil Salinization
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摘要 土壤盐渍化是一个世界性的生态问题,同时也是资源开发和利用问题。对于盐渍化土壤的调查是合理利用土壤的前提条件。文章应用径向基(RBF)人工神经网络,结合多源遥感影像对北方某地区耕地土壤盐渍化状况进行调查研究,取得了满意的效果。 Soil salinization is not only an ecological problem but also a matter concerning resource development and utilization. The investigation of soil salinization is the precondition to make good use of soil. Using radial base function (RBF) artificial neural network and multi-source remote sensing imagery, the status of soil salinization in an area of north china is studied with satisfactory results.
出处 《岩矿测试》 CAS CSCD 2007年第1期33-35,共3页 Rock and Mineral Analysis
基金 国际科技合作重点基金资助项目(2005DFA91140)
关键词 土壤盐渍化 遥感 径向基人工神经网络 soil salinization remote sensing radial base function artificial neural network
作者简介 曹晓娟(1981-),山西永济人,主要从事环境地球化学和环境质量评价研究。E-mail:cao-q90@163.com。
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