Feature extraction using neocognitron learning in hierarchical temporary memory
Hierarchical Temporal Memory (HTM) serves as a practical implementation of the memory prediction theory.In order to obtain the optimum accuracy in pattern recognition, it is crucial to apply an appropriate learning algorithm for the feature extraction step of the HTM.This study proposes the use of n...
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| Main Authors: | , |
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| Format: | Conference or Workshop Item |
| Language: | en |
| Published: |
2015
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| Subjects: | |
| Online Access: | https://repo.uum.edu.my/id/eprint/17281/1/I4CT2015%20318-322.pdf https://repo.uum.edu.my/id/eprint/17281/ http://doi.org/10.1109/I4CT.2015.7219589 |
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