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阐述了用ＢＰ算法处理阵列式气体传感器信号的方法。实验结果证明，神经网络方法具有非线性逼近能力强、识别率较高等特点，是实现智能化检测的很有前途的方法。
The method of using BP algorithm to process arrayed gas sensor signals is expounded. Experimental results show that the neural network method has the characteristics of strong non-linear approximation ability and high recognition rate, and is a promising method to realize intelligent detection.