| 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 |
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| 引用本文： | 蔡鹭欣,杨燕明,杨芃原.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[J].厦门大学学报(自然科学版),1999,38(3):403-407. |
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| 作者姓名： | 蔡鹭欣 杨燕明 杨芃原 |
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| 作者单位： | 厦门大学化学系,教育部分析科学开放实验室,厦门,361005 |
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| 摘 要： | 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，该算法选出的变量与用统计方法得到的结果一致
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| 关 键 词： | 遗传算法，反向传播神经网络 |
The Application of Genetic Algorithms Based on Back-Propagation Neural Network in Distinguish Alcoholic Vapour |
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| Cai Luxin,Yang Yanming,Yang Pengyuan.The Application of Genetic Algorithms Based on Back-Propagation Neural Network in Distinguish Alcoholic Vapour[J].Journal of Xiamen University(Natural Science),1999,38(3):403-407. |
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| Authors: | Cai Luxin Yang Yanming Yang Pengyuan |
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| Abstract: | 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. |
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| Keywords: | Genetic algorithms Back popagation neural network |
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