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Quantum cellular neural networks: A theoretical model.

机译:量子细胞神经网络:理论模型。

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摘要

We propose a new theoretical model of Artificial Neural Networks (ANN'S) based on well established ideas in the field of Cellular Automata (CA), the field of Quantum Mechanics (QM) in general, and the field of Quantum Electrodynamic (QED) in particular. The model uses a new architecture where neurons (nodes or units) are located within a 3-D cubic lattice. The connections between the nodes are well defined. The input to the model is a set of patterns encoded as waves packets propagating across the whole set of nodes. The propagation of those waves is analogous to the process of waves scattering across a set of potentials (here potentials exist at the level of each node). Storage and retrieval in this model is based on 3-D scattering. A node behaves as a quantum harmonic oscillator, a feature by which a propagating wave would leave a piece of information it encodes as a set of oscillations at the node level.
机译:我们基于细胞自动机(CA)领域,特别是量子力学(QM)领域,尤其是量子电动力学(QED)领域的公认思想,提出了一种人工神经网络(ANN'S)的新理论模型。 。该模型使用一种新的体系结构,其中神经元(节点或单元)位于3-D立方晶格内。节点之间的连接定义良好。模型的输入是一组模式,这些模式编码为在整个节点集合中传播的波包。这些波的传播类似于波在一组电位上的散射过程(此处的电位存在于每个节点的水平)。此模型中的存储和检索基于3-D散射。节点的行为就像是一个量子谐波振荡器,通过该特性,传播波将留下一条信息,该信息被编码为节点级的一组振荡。

著录项

  • 作者

    Saylani, Najib.;

  • 作者单位

    City University of New York.;

  • 授予单位 City University of New York.;
  • 学科 Computer Science.
  • 学位 Ph.D.
  • 年度 2000
  • 页码 148 p.
  • 总页数 148
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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