A Fast Spatial Pool Learning Algorithm of Hierarchical Temporal Memory Based on Minicolumn's Self-Nomination

As a new type of artificial neural network model, HTM has become the focus of current research and application. The sparse distributed representation is the basis of the HTM model, but the existing spatial pool learning algorithms have high training time overhead and may cause the spatial pool to be...

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Detalles Bibliográficos
Autores principales: Li, Lei, Zou, Tingting, Cai, Tao, Niu, Dejiao, Zhu, Yuquan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7994094/
https://www.ncbi.nlm.nih.gov/pubmed/33790959
http://dx.doi.org/10.1155/2021/6680833

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7994094/
https://www.ncbi.nlm.nih.gov/pubmed/33790959
http://dx.doi.org/10.1155/2021/6680833

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