ANALYSIS OF CORRELATION BETWEEN INNER QUALITY AND APPEARANCE CHARACTERISTIC OF FLUE-CURED TOBACCO LEAF BY PROBABILISTIC NEURAL NETWORK

The content of nicotine,reducing sugar and protein of the tobacco was determined based on the near-infrared spectrum of tobacco samples.Principal component analysis method was used to compress data and extract figures when combining with eight appearance characteristics of tobacco.The dimension of sample was simplified and the input of probabilistic neural network was optimized.Then the correlation between inner qualities and appearance characteristics of tobacco was analyzed by the probabilistic neural network.The results indicated that the inner quality could be predicted by the probabilistic neural networks.