›› 2009, Vol. 11 ›› Issue (S1): 75-78.
• 方法与技术探讨 • 上一篇 下一篇
吴浩,郭培源,陈天华
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基金资助:
北京市自然科学基金项目(4092012)资助。
WU Hao, GUO Pei-yuan, CHEN Tian-hua
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摘要:
从多角度评判肉类新鲜度,融合各项新鲜度判别数据指标,通过人工神经网络的拟合训练,建立起检测模型,达到智能检测。在应用中,利用建立好的模型,在输入猪肉特征参数下,模型输出新鲜度的判定结果TVB-N,为猪肉新鲜度检测提供了一种高效快速方案。
关键词: 猪肉新鲜度;智能检测;TVB-N;神经网络
Abstract:
To do judgment on pork freshness from multi-aspect, with integration of each index and through the imitation with artificial neural network, a model is established to serve as a rapid effective method for detection of pork freshness,which provides the judgment results TVB-N in application with inputting the characteristic parameters. A fast and efficient plan of detecting meat freshness is provided.
Key words: pork freshness, intelligent detection, TVB-N, neural network
中图分类号:
TS201.6
吴浩,郭培源,陈天华. 一种猪肉新鲜度智能检测方法初探[J]. , 2009, 11(S1): 75-78.
WU Hao, GUO Pei-yuan, CHEN Tian-hua. A New Method on Rapid Detection of Pork Freshness with Artificial Intelligence[J]. , 2009, 11(S1): 75-78.
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