neural network pattern recognition method 神经网络模式识别方法
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。
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