Work

A CMOS-memristive self-learning neural network for pattern classification applications

Year: 2014

Type: conference-paper

Source: IEEE/ACM International Symposium on Nanoscale Architectures (NANOARCH)

DOI: 10.1109/nanoarch.2014.6880486

Authors: Melika Payvand, Justin Rofeh, Avantika Sodhi, Luke Theogarajan

Institution: University of California, Santa Barbara

Language: English

Topic: Advanced Memory and Neural Computing

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: closed

Funder: Air Force Office of Scientific Research

OpenAlex ID: W2129788035

FWCI: 3.243

Cites: 17

Cited by: 17

Related to: 10