中外食品
中外食品
중외식품
GLOBAL FOOD INDUSTRY
2014年
4期
14-14,17
,共2页
徐力斌%徐梅%李冬生%周明全%丁佑铭%胡中立%汪超
徐力斌%徐梅%李鼕生%週明全%丁祐銘%鬍中立%汪超
서력빈%서매%리동생%주명전%정우명%호중립%왕초
人工神经网络%多层感知器神经网络%径向基函数网络%芦苇笋酒糟%糠醛
人工神經網絡%多層感知器神經網絡%徑嚮基函數網絡%蘆葦筍酒糟%糠醛
인공신경망락%다층감지기신경망락%경향기함수망락%호위순주조%강철
artificial neural network%a multi-layer perception neural network%radial basis function network%Common reed liquor lees%furfural
在本研究中，应用多层感知器神经网络和径向基函数(RBF)网络对芦苇笋酒糟中糠醛提取建模。人工神经网络模型用于芦苇笋酒糟和从回归分析得到从中提取糠醛的结果的比较。适当的提取条件，保证芦苇笋酒糟中糠醛的最大提取量。这项研究为白酒的生产提供了理论依据。
在本研究中，應用多層感知器神經網絡和徑嚮基函數(RBF)網絡對蘆葦筍酒糟中糠醛提取建模。人工神經網絡模型用于蘆葦筍酒糟和從迴歸分析得到從中提取糠醛的結果的比較。適噹的提取條件，保證蘆葦筍酒糟中糠醛的最大提取量。這項研究為白酒的生產提供瞭理論依據。
재본연구중，응용다층감지기신경망락화경향기함수(RBF)망락대호위순주조중강철제취건모。인공신경망락모형용우호위순주조화종회귀분석득도종중제취강철적결과적비교。괄당적제취조건，보증호위순주조중강철적최대제취량。저항연구위백주적생산제공료이론의거。
In the present study, a multi-layer perception neural network and radial basis function (RBF) network were used to model of extract form Common reed liquor lees of furfural content. Artificial neural network were used to model extract furfural from Common reed liquor lees and comparison was also made with the results obtained from a regression analysis. The appropriate extraction conditions can guarantee the maximum of extract from Common reed liquor lees. This work can provide a theoretical basis for the production of liquor.
