磁体人工神经网络的新实现

B. Kotur
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引用次数: 0

摘要

本文讨论了利用电磁铁实现人工神经网络的方法。这种新颖的人工神经网络系统由电磁铁作为其神经元组成,输入也通过磁铁施加,输出被读取为磁场强度。它遵循了传统人工神经网络的所有原理。这种实现的额外优点是,它的磁场相互作用将立即产生输出,而不需要任何显式计算,这与传统的人工神经网络系统不同。因此,在这方面,所提出的系统在实践中比人工神经网络实现更有效。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Novel implementation of ANN using magnets
The implementation of the artificial neural networks using electromagnets has been discussed in this paper. This novel ANN system comprises of electromagnets as its neurons and the inputs are also applied through magnets and the outputs are read as the magnetic field intensities. It follows all the principles from the traditional artificial neural networks. The added advantage of this implementation is that its magnetic field interactions will yield the outputs instantly without any explicit computations at all unlike in the case of the conventional ANN systems. So, in this respect the proposed system is more efficient against the ANN implementations in practice.
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