韩磊,李锐,朱会利.基于BP神经网络的土壤养分综合评价模型[J].农业机械学报,2011,42(7):109-115.
Han Lei,Li Rui,Zhu Huili.Comprehensive Evaluation Model of Soil Nutrient Based on BP Neural Network[J].Transactions of the Chinese Society for Agricultural Machinery,2011,42(7):109-115.
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基于BP神经网络的土壤养分综合评价模型   [下载全文]
Comprehensive Evaluation Model of Soil Nutrient Based on BP Neural Network   [Download Pdf][in English]
  
DOI:10.3969/j.issn.1000-1298.[year].[issue].[sequence]
中文关键词:  土壤养分  BP神经网络  综合评价
基金项目:国家重点基础研究发展计划(973计划)资助项目
作者单位
韩磊 西北农林科技大学 
李锐 西北农林科技大学
中国科学院 
朱会利 陕西理工学院 
中文摘要:以土壤养分指标体系作为神经网络的输入,以土壤养分等级评分作为输出,基于BP神经网络,建立了具有5个隐含层节点、3层网络的土壤养分综合评价模型;以土壤养分指标的各级评价标准作为模型的训练样本和检验样本,利用Matlab软件对BP神经网络进行训练和检验,并对安塞县土壤养分进行综合评价。结果表明BP神经网络对检验样本的模拟输出和期望输出是一致的;对安塞县土壤养分综合评价结果与模糊模式识别、主成分分析结果也是完全一致的。
Han Lei  Li Rui  Zhu Huili
Northwest A & F University;Northwest A & F University;Chinese Academy of Sciences;Shaanxi University of Technology
Key Words:Soil nutrient, BP neural network, Comprehensive evaluation
Abstract:A comprehensive evaluation model of soil nutrient based on BP neural network was set up, which contained 5 cryptic layer nodes and 3 layers. The rank classification criterion of soil nutrient’s assessment indicator system was chosen as the training sample and the test sample of the model. The training and the test were made by using Matlab software. The comprehensive evaluation of farmland soil nutrients was conducted in Ansai County. The results showed that simulation result of BP neural network was consistent with the expected result; the simulation result of BP neural network, fuzzy pattern and principal component analysis were exactly the same. 

Transactions of the Chinese Society for Agriculture Machinery (CSAM), in charged of China Association for Science and Technology (CAST), sponsored by CSAM and Chinese Academy of Agricultural Mechanization Science(CAAMS), started publication in 1957. It is the earliest interdisciplinary journal in Chinese which combines agricultural and engineering. It always closely grasps the development direction of agriculture engineering disciplines and the published papers represent the highest academic level of agriculture engineering in China. Currently, nearly 8,000 papers have been already published. There are around 3,000 papers contributed to the journal each year, but only around 600 of them will be accepted. Transactions of CSAM focuses on a wide range of agricultural machinery, irrigation, electronics, robotics, agro-products engineering, biological energy, agricultural structures and environment and more. Subjects in Transactions of the CSAM have been embodied by many internationally well-known index systems, such as: EI Compendex, CA, CSA, etc.

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