| 基于模糊神经网络味觉信号识别的研究 |
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| 引用本文： | 周春光,梁艳春,田勇,胡成全,孙新. 基于模糊神经网络味觉信号识别的研究[J]. 计算机研究与发展, 1999, 36(4): 401-409 |
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| 作者姓名： | 周春光 梁艳春 田勇 胡成全 孙新 |
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| 作者单位： | 吉林大学计算机科学系,长春,130023 |
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| 基金项目： | 国家自然科学基金,教育部符号计算与知识工程开放研究实验室资助 |
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| 摘 要： | 文中提出了一种基于模糊神经网络方法的味觉信号识别模型，利用小波变换实现了对传感器所采集的味觉信号进行数据压缩及特征抽取，以模糊神经网络作为味觉信号的识别工具。
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| 关 键 词： | 模糊神经网络 味觉信号 小波变换 遗传算法 |
A STUDY OF IDENTIFICATION OF TASTE SIGNALS BASED ON FUZZY NEURAL NETWORKS |
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| ZHOU Chun-Guang,LIANG Yan-Chun,TIAN Yong,HU Cheng-Quan,SUN Xin. A STUDY OF IDENTIFICATION OF TASTE SIGNALS BASED ON FUZZY NEURAL NETWORKS[J]. Journal of Computer Research and Development, 1999, 36(4): 401-409 |
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| Authors: | ZHOU Chun-Guang LIANG Yan-Chun TIAN Yong HU Cheng-Quan SUN Xin |
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| Abstract: | An identification model of taste signals is developed based on fuzzy neural networks.The data compression and feature extraction of the sampled taste signals obtained using taste sensors are implemented employing wavelet transformation.Fuzzy neural networks are used to identify the taste signals.The training of network weights and the optimization of membership functions are conducted employing genetic algorithms.The data processing and fuzzy identification of mixed acid and sweet taste signals are realized.Simulated experimental results show that it is feasible and effective to introduce fuzzy neural networks into the fuzzy identification of taste signals. |
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| Keywords: | fuzzy neural networks taste signals wavelet transformation genetic algorithm |
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