使用光学薄膜模型的联结学习

Proceedings 1995 Second New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems Pub Date : 1995-11-20 DOI:10.1109/ANNES.1995.499440

M. Purvis, Xiaodong Li

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引用次数: 6

摘要

描述了一种基于生物有机体神经解剖学的连接主义架构的替代方案。所提出的结构是基于光学薄膜多层模型，薄膜层的厚度作为可调的“权重”用于计算。讨论了模型的性质和一些典型的传统连接主义体系结构的计算实例。

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Connectionist learning using an optical thin-film model

An alternative connectionist architecture to the one based on the neuroanatomy of biological organisms is described. The proposed architecture is based on an optical thin film multilayer model, with the thicknesses of thin film layers serving as adjustable 'weights' for the computation. The nature of the model and some example calculations that exhibit behaviour typical of conventional connectionist architectures are discussed.

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Proceedings 1995 Second New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems

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