Work

Back-reference Analogy within Artificial Neural Networks Implementation

Year: 2026
Type: preprint
Abstract: We are to address our past approach to tackling back-reference problem which is known to be NP-hard and, thus, impractical in general, however, the applicable and practical approach is required in order to make the search possible within the defined time frame, on that account we present our ‘in-deep’ concept which can be applied in the implementation of artificial neural networks (ANNs), this approach gives us the delay function which can be successfully used in the hypothetical networks, where the immediate transition between neural nodes is to be made delayed according to the structure and maybe even nature, we will further discuss how it can be vital for the newly presented ANNs
Language: English
Open Access status: green
OpenAlex ID: W7218737510
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