HTM-MAT Minimalist HTM Cortical Learning Algorithm
A framework for implementing Numenta Hierarchical Temporal Memory (HTM)
A reusable framework for learning big data in an unsupervised and deep way. It is based on Human Cognitive Intelligence (HGI), sequences of sequences, predictive memory and can be applied to problems where data is largely unlabeled and non-linear. Typical uses include in image recognition, speech synthesis, and fraud detection
引用格式
EN Osegi (2026). HTM-MAT Minimalist HTM Cortical Learning Algorithm (https://ww2.mathworks.cn/matlabcentral/fileexchange/51968-htm-mat-minimalist-htm-cortical-learning-algorithm), MATLAB Central File Exchange. 检索时间: .
| 版本 | 已发布 | 发行说明 | Action |
|---|---|---|---|
| 3.0.0.0 | Added function for computing Mean Absolute Percentage Error (MAPE), finer code and more datasets etc.. |
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| 2.0.0.0 | This submission uses a more efficient and less complex sparse representation than the original CLA implementation.
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| 1.0 | HTM Toolbox for MATLAB |
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