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基于BP神經(jīng)網(wǎng)絡(luò)的土壤養(yǎng)分綜合評價模型
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國家重點(diǎn)基礎(chǔ)研究發(fā)展計劃(973計劃)資助項目


Comprehensive Evaluation Model of Soil Nutrient Based on BP Neural Network
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    摘要:

    以土壤養(yǎng)分指標(biāo)體系作為神經(jīng)網(wǎng)絡(luò)的輸入,，以土壤養(yǎng)分等級評分作為輸出,，基于BP神經(jīng)網(wǎng)絡(luò),建立了具有5個隱含層節(jié)點(diǎn),、3層網(wǎng)絡(luò)的土壤養(yǎng)分綜合評價模型,；以土壤養(yǎng)分指標(biāo)的各級評價標(biāo)準(zhǔn)作為模型的訓(xùn)練樣本和檢驗樣本,，利用Matlab軟件對BP神經(jīng)網(wǎng)絡(luò)進(jìn)行訓(xùn)練和檢驗，并對安塞縣土壤養(yǎng)分進(jìn)行綜合評價。結(jié)果表明BP神經(jīng)網(wǎng)絡(luò)對檢驗樣本的模擬輸出和期望輸出是一致的；對安塞縣土壤養(yǎng)分綜合評價結(jié)果與模糊模式識別,、主成分分析結(jié)果也是完全一致的,。

    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. 

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韓磊,李銳,朱會利.基于BP神經(jīng)網(wǎng)絡(luò)的土壤養(yǎng)分綜合評價模型[J].農(nóng)業(yè)機(jī)械學(xué)報,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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