| 一种基于联想神经网络的矢量编码 |
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| 引用本文： | 曾黄麟,王晓.一种基于联想神经网络的矢量编码[J].四川理工学院学报(自然科学版),1997(4). |
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| 作者姓名： | 曾黄麟 王晓 |
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| 作者单位： | 四川轻化工学院电子工程系!自贡，643033，四川轻化工学院电子工程系!自贡，643033 |
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| 基金项目： | 四川省科委、教委重点科研项目 |
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| 摘 要： | 利用种经网络稳定记忆的吸引战能把输入矢量聚类的特性，本文讨论了一种改进的Hopfield离散神经网络用作矢量编码，这种方法能获得较高的数据压缩比和较小的压缩失真。
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| 关 键 词： | 联想神经网络 矢量量化 压缩编码 |
VECTOR QUANTIZATlON CODING BASED ON FEEDBACK ASSOCIATIVE NEURAL NETWORKS |
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| Zeng Huanglin, Wang Xiao.VECTOR QUANTIZATlON CODING BASED ON FEEDBACK ASSOCIATIVE NEURAL NETWORKS[J].Journal of Sichuan University of Science & Engineering:Natural Science Editton,1997(4). |
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| Authors: | Zeng Huanglin Wang Xiao |
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| Institution: | Dept.of Electron.Eng.Sichan Institute of Light Ind. & Chem. Tech. Zigong 643033 |
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| Abstract: | By studies of the Properties of attraction basins of stable memories in feedback associative neural networks, a kind of vector quantization coding is suggested with an improved Hopfield discrete-time neural network. A high ratio of data compression and a low compression distortion can be achieved by the vector quantization coding. |
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| Keywords: | associative ueural networks vector quantization compression coding |
| 本文献已被 CNKI 等数据库收录！ |
