Article
Version 1
Preserved in Portico This version is not peer-reviewed
ANN Learning, Attention, and Memory
Version 1
: Received: 10 June 2024 / Approved: 11 June 2024 / Online: 12 June 2024 (11:07:59 CEST)
A peer-reviewed article of this Preprint also exists.
Manca, V. Artificial Neural Network Learning, Attention, and Memory. Information 2024, 15, 387. Manca, V. Artificial Neural Network Learning, Attention, and Memory. Information 2024, 15, 387.
Abstract
The learning equations of an ANN are presented, giving an extremely concise derivation based on the principle of backpropagation through the descendent gradient. Then, a reflection is developed on the dual attention network that applies the learning equations and coordinates subnetworks toward purposeful behaviors. Speculation is made on possible developments of functionalities that could provide additional skills and at the same time shed light on competencies typical of ``natural intelligence".
Keywords
Artificial Neural Networks; Machine Learning; Artificial Intelligence; Cognitive Systems; Back-propagation
Subject
Computer Science and Mathematics, Artificial Intelligence and Machine Learning
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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