A structural developmental neural network with information saturation for continual unsupervised learning
Abstract In this paper, we propose a structural developmental neural network to address the plasticity‐stability dilemma, computational inefficiency, and lack of prior knowledge in continual unsupervised learning. This model uses competitive learning rules and dynamic neurons with information satura...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
Wiley
2023-09-01
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Series: | CAAI Transactions on Intelligence Technology |
Subjects: | |
Online Access: | https://doi.org/10.1049/cit2.12169 |