人工神经网络在坦洋工夫红茶感官品质评定中的应用研究

doi:10.13305/j.cnki.jts.2015.05.009

Abstract

Abstract: According to the main indexes of sensory quality evaluation in the TanYang GongFu black tea, the grade of tea and nonlinear mapping relationship in the main index was built by using BP Neural Network. Prediction of grade was achieved and all these have been proved by experiments. The results showed that expert prediction system of TanYang GongFu black tea possessed good recognition effect and strong practicality, could overcome subjective error caused by human and to improved the speed of tea assessment, the tasters who possessed the knowledge of tea assessment could correctly assessed the grade of tea.

Key words: artificial neural network, TanYang GongFu black tea, quality evaluation, prediction system

CLC Number:

TS272.5⁺2

PAN Yucheng, YE Naixing, PAN Yuhua, ZHAO Shiyu. Application Research of Artificial Neural Network in Sensory Quality Evaluation of TanYang GongFu Black Tea[J]. Journal of Tea Science, 2015, 35(5): 465-472.

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Application Research of Artificial Neural Network in Sensory Quality Evaluation of TanYang GongFu Black Tea

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