HTM-MAT Minimalist HTM Cortical Learning Algorithm

버전 1.0 (469 KB) 작성자: EN Osegi
A framework for implementing Numenta Hierarchical Temporal Memory (HTM)
다운로드 수: 588
업데이트 날짜: 2017/4/19

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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

인용 양식

EN Osegi (2026). HTM-MAT Minimalist HTM Cortical Learning Algorithm (https://kr.mathworks.com/matlabcentral/fileexchange/51968-htm-mat-minimalist-htm-cortical-learning-algorithm), MATLAB Central File Exchange. 검색 날짜: .

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개발 환경: R2007b
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버전 게시됨 릴리스 정보
3.0.0.0

Added function for computing Mean Absolute Percentage Error (MAPE), finer code and more datasets etc..

2.0.0.0

This submission uses a more efficient and less complex sparse representation than the original CLA implementation.
This submission uses a more efficient and less complex sparse representation than the original CLA implementation.

1.0

HTM Toolbox for MATLAB