基于人工神经网络技术提取烟叶质量特征值

Study of Getting Tobacco Leaf Weight Based on Neural Network Technology

由于烟叶的质量与其面积、周长和缺损情况等密切相关 ,因此首先提取出烟叶的面积、周长和缺损等特征值 ,在此基础上可以利用人工神经网络技术提取烟叶质量特征值。本文对利用人工神经网络技术 。

The weight of a tobacco leaf is one of the important classifying factors which have been stipulated in the National Standard. To determine tobacco leaf weight by a computer classifying system, we have tried many methods. But it is difficult to weigh up a tobacco leaf weight and to real time transmit data into the computer. In so much as tobacco leaf weight has a close relationship with the leaf area, circumference and flaws, if we know the area, circumference and flaws of tobacco leaf, the weight can be obtained by simulation using above data. In this case, the neural network is a powerful tool to solve this problem.