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并联神经网络在烤烟内在品质评定中的应用
引用本文:高大启,吴守一.并联神经网络在烤烟内在品质评定中的应用[J].农业机械学报,1999,30(1):58-62.
作者姓名:高大启  吴守一
作者单位:江苏理工大学农产品加工工程研究所,212013,镇江市
基金项目:江苏省应用基础研究基金
摘    要:应用并联神经网络分析方法,能直接将烤烟主要化学成分测量数据转换为与香气,吃味,杂气,刺激性等评吸专家的感官评分指标值相一致的结果,应用实例表明,与感官评定方法相比,该方法在客观性,准确性等方面具其优越性。

关 键 词:神经网络  烤烟叶  化学成分  质量评价

A PARALLEL NEURAL-NETWORK METHOD FOR EVALUATING INTERNAL QUALITY OF FLUE-CURED TOBACCO
Gao Daqi,Wu Shouyi.A PARALLEL NEURAL-NETWORK METHOD FOR EVALUATING INTERNAL QUALITY OF FLUE-CURED TOBACCO[J].Transactions of the Chinese Society of Agricultural Machinery,1999,30(1):58-62.
Authors:Gao Daqi  Wu Shouyi
Institution:Jiangsu University of Science and Technology
Abstract:Up to now, as the internal quality of flue cured tobacco is evaluated by sense of evaluating experts, the accuracy of results is hard to be guaranteed. So, a kind of evaluating method based on parallel neural network is proposed, which is able to transform measured data of principal chemical components (total saccharides, reductive saccharides, total nitrogen, nicotine, K 2O, Cl, etc.) of tobacco into the output results corresponding to experts' sensory experience indices (fragrance, taste, miscellaneous odor, stimulation, etc.). An applied experiment shows that the accuracy and objectiveness of evaluating results of this method are fairly good. This method and the sensory judging method are able to offset each other.
Keywords:Parallel neural networks  Flue  cured tobacco  Chemical components  Quality evaluation  
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