用元素在固定区间的索引矩阵表示多层感知器

2020 European Conference on Circuit Theory and Design (ECCTD) Pub Date : 2020-09-01 DOI:10.1109/ECCTD49232.2020.9218374

Krassimir Atanasov, S. Sotirov

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引用次数: 1

摘要

经典神经网络在其结构中具有传递函数。这些函数在解决不同的任务和不同类型的神经网络时是不同的。在本文中，作者利用索引矩阵和其中一个算子的工具来改变神经网络的性质。

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Multylayer perceptron representation by index matrices with elements in a fixed interval

Classical neural networks have transfer functions in their structures. These functions are different in solving different tasks and in different types of neural networks. In this paper, the authors use the tools of indexed matrices and one of the operators to change the properties of neural networks.

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来源期刊

2020 European Conference on Circuit Theory and Design (ECCTD)

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