TY - CHAP
T1 - Memristive hierarchical temporal memory
AU - Krestinskaya, Olga
AU - Dolzhikova, Irina
AU - James Pappachen, Alex
PY - 2020/1/1
Y1 - 2020/1/1
N2 - This chapter covers the memristive HTM implementations on mixed-signal and analog hardware. Most of the implemented memristive systems are based on modified HTM algorithm. The HTM is often used as a feature encoding and feature extraction tool, and these features are then used with conventional nearest neighbor method for classification.
AB - This chapter covers the memristive HTM implementations on mixed-signal and analog hardware. Most of the implemented memristive systems are based on modified HTM algorithm. The HTM is often used as a feature encoding and feature extraction tool, and these features are then used with conventional nearest neighbor method for classification.
UR - http://www.scopus.com/inward/record.url?scp=85064751517&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85064751517&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-14524-8_14
DO - 10.1007/978-3-030-14524-8_14
M3 - Chapter
AN - SCOPUS:85064751517
T3 - Modeling and Optimization in Science and Technologies
SP - 181
EP - 194
BT - Modeling and Optimization in Science and Technologies
PB - Springer Verlag
ER -