Artificial neural network pattern recognition has become especially suitable for solving a class of problem.

模式识别成为人工神经网络特别适宜求解的一类问题。

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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。

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The results demonstrate that pattern recognition of ceramic raw materials by artificial neural network agrees with the fact.

研究结果表明，人工神经网络用于陶瓷原料的模式识别，其结果和实际一致。

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