基于反向传播神经网络的遗传算法在酒类气体识别中的应用

The Application of Genetic Algorithms Based on Back Propagation Neural Network in Distinguish Alcoholic Vapour

把基于反向传播神经网络的遗传算法用于酒类气体识别实验中的传感器阵列的筛选，通过评价传感器组合对反向传播神经网络识别酒类气体结果的影响，建立一种挑选传感器阵列的方法。

The genetic algorithm based on back propagation neural network was employed to select gas sensors in distinguishing alcoholic vapour experiment. After evaluating the fitness of sensor arrays, a new method of choosing gas sensors was built. The results are equivalent to that obtained by statistical method.