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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...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Hindawi
2022
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| Materias: | |
| 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 |