This research demonstrates the potential and procedure of applying computer vision and neural network pattern recognition techniques to food quality control.
本研究展示了在食品质量控制过程中，应用计算机视觉系统和神经网络技术的潜在优势。
The BP artificial neural network pattern recognition has a 98% accuracy, which may predict the activities of taxol analogues.
四参数的定量构效关系显著性较好，神经网络模式识别总识别率为98%，可较精确地预测化合物的抗癌活性。
A combined classifier is designed. There are two recognition ways used in the classifier. They are the least distance pattern recognition method and the BP neural network pattern recognition method.
设计了一个二级组合分类器，该分类器综合使用了最小距离和BP神经网络两种模式识别方法。
A combined classifier is designed. There are two recognition ways used in the classifier. They are the least distance pattern recognition method and the BP neural network pattern recognition method.
设计了一个二级组合分类器，该分类器综合使用了最小距离和BP神经网络两种模式识别方法。
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