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基于電參數(shù)與神經(jīng)網(wǎng)絡(luò)的奶牛乳腺炎檢測(cè)方法
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國家自然科學(xué)基金資助項(xiàng)目（30871445）;2010年山西省研究生創(chuàng)新資助項(xiàng)目(20103047)


Cow Mastitis Detection Based on Electrical Parameters and Neural Networks
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    摘要:

    通過準(zhǔn)確測(cè)量奶牛新鮮乳汁的溫度、電導(dǎo)率、電容和乳汁中的體細(xì)胞含量，建立了溫度、電導(dǎo)率、電容為輸入，體細(xì)胞數(shù)為輸出的四層BP神經(jīng)網(wǎng)絡(luò)模型。并將結(jié)果與沒有電容參數(shù)的網(wǎng)絡(luò)模型結(jié)果進(jìn)行比較。結(jié)果表明：電容參數(shù)的加入使檢測(cè)精度有顯著提高，驗(yàn)證集奶牛乳腺炎等級(jí)的正確檢出率達(dá)到100%。

    Abstract:

    The temperatures, electrical conductivities, capacitances and somatic cell counts of cow fresh milk were measured accurately, and a four-layer BP neural networks regression model was established. The temperatures, electrical conductivities and capacitances were used as the model input data, and somatic cell was counted as output data. The model results were compared with those of the model without the capacitances parameters. It showed that the detection accuracy had been significantly improved with the capacitances parameters, the correct cow mastitis detection rate for validation sample set was 100%.

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崔傳金,古少鵬,左月明.基于電參數(shù)與神經(jīng)網(wǎng)絡(luò)的奶牛乳腺炎檢測(cè)方法[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),2011,42(1):193-197. Cui Chuanjin, Gu Shaopeng, Zuo Yueming. Cow Mastitis Detection Based on Electrical Parameters and Neural Networks[J]. Transactions of the Chinese Society for Agricultural Machinery,2011,42(1):193-197.

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