Optimization on tea carding technology by artificial neural network
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(1. Engineering College, Anhui Agricultural University, Hefei, Anhui 230031, China; 2. State Key Laboratory of Tea Plant Biology and Utilization, Anhui Agricultural University, Hefei, Anhui 230031, China; 3. Tea and Food Science and Technology College, Hefei, Anhui 230031, China)

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    Abstract:

    The influences were studied. from tea carding temperature, tea carding time and the amount of leaves on the processing, taking Lu'an green tea as material. Based on the single factor experiment, the optimum parameters were selected. The optimum parameters were as followed: carding temperature 90 ℃, carding time 5 min, and the amount of leaves 1.0 kg. Experimental data were subjected to multivariate first-order regression and multivariate quadratic regression, and two regressing equations were obtained. A neural network model based on the orthogonal experiment data was established to obtain the optimum parameters, final result for temperature at 93 ℃, tea carding time is 5 minutes, the amount of leaves is 1.0 kg, and the experimental result based on the parameters from the artificial neural network is better than that based on orthogonal experiment.

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王小勇,李兵,曾晨,等.茶叶理条工艺的人工神经网络优化[J].食品与机械英文版,2016,32(1):103-105.

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History
  • Received:July 11,2015
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  • Online: February 26,2023
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