| 茶叶品质评定的人工神经网络方法 |
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| 引用本文： | 蔡煜东,宫家文.茶叶品质评定的人工神经网络方法[J].茶叶科学,1993,13(1):45-50. |
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| 作者姓名： | 蔡煜东 宫家文 |
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| 作者单位： | 中国科学院上海冶金研究所 上海200050
(蔡煜东，宫家文，甘骏人)，中国科学院上海冶金研究所 上海200050(姚林声) |
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| 摘 要： | 本文取商业部颁发的4套炒青绿茶标准样为材料,运用10个较理想的茶叶色泽与滋味品质的理化指标,用人工神经网络方法,建立了品质级别判别的计算机智能专家系统,并获得了令人满意的评判结果。该方法性能良好,具有较好的容错、抗干扰能力和评判速度快等特点,从而为茶叶品质微机评判系统的研究奠定了良好的基础。
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| 关 键 词： | 绿茶 炒青 品质审评 计算机评判系统 人工神经网络 |
Artificial Neural Network Approach to Evaluate the Quality of Green Tea |
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| Cai Yudong,Gong Jiawen,Gan Junren,Yao Linshen.Artificial Neural Network Approach to Evaluate the Quality of Green Tea[J].Journal of Tea Science,1993,13(1):45-50. |
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| Authors: | Cai Yudong Gong Jiawen Gan Junren Yao Linshen |
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| Abstract: | In this paper,the computer intelligence expert system to evaluate thequality of green tea with ten physical and chemical mdcxes by using theartificial neural network approach has been established.According to foursets of roasted green tea samples promulgated by the Ministry of Commerce,the performance of the approach is noted for fast evaluation and a goodability of anti-interference.Therefore the study has laid a good groundworkfor further research on the microcomputer evaluation system of tea quality. |
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| Keywords: | Green tea Quality tasting Computer evaluation system Artificial neural networks |
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