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    题名: Realization problem of multi-layer cellular neural networks
    作者: 班榮超
    Ban, Jung-Chao
    Chang, Chih-Hung
    贡献者: 應數系
    关键词: Multi-layer cellular neural networks;Sofic shifts;Learning problem;Covering space;Separation property;Topological entropy
    日期: 2015-01
    上传时间: 2020-05-27 09:02:02 (UTC+8)
    摘要: This paper investigates whether the output space of a multi-layer cellular neural network can be realized via a single layer cellular neural network in the sense of the existence of finite-to-one map from one output space to the other. Whenever such realization exists, the phenomena exhibited in the output space of the revealed single layer cellular neural network is at most a constant multiple of the phenomena exhibited in the output space of the original multi-layer cellular neural network. Meanwhile, the computation complexity of a single layer system is much less than the complexity of a multi-layer system. Namely, one can trade the precision of the results for the execution time. We remark that a routine extension of the proposed methodology in this paper can be applied to the substitution of hidden spaces although the detailed illustration is omitted.
    關聯: Neural Networks, Vol.70, pp.9-17
    数据类型: article
    DOI 連結: https://doi.org/10.1016/j.neunet.2015.06.003
    DOI: 10.1016/j.neunet.2015.06.003
    显示于类别:[應用數學系] 期刊論文

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