A New Hierarchical Temporal Memory Algorithm Based on Activation Intensity

As a human-cortex-inspired computing model, hierarchical temporal memory (HTM) has shown great promise in sequence learning and has been applied to various time-series applications. HTM uses the combination of columns and neurons to learn the temporal patterns within the sequence. However, the conve...

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Detalles Bibliográficos
Autores principales: Niu, Dejiao, Yang, Le, Cai, Tao, Li, Lei, Wu, Xudong, Wang, Zhidong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8803450/
https://www.ncbi.nlm.nih.gov/pubmed/35111211
http://dx.doi.org/10.1155/2022/6072316

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8803450/
https://www.ncbi.nlm.nih.gov/pubmed/35111211
http://dx.doi.org/10.1155/2022/6072316

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