Work

Endpoint-based discriminability of minimum energy inputs

Year: 2016

Type: conference-paper

Source: Proceedings of the ... American Control Conference/Proceedings of the American Control Conference

DOI: 10.1109/acc.2016.7525382

Authors: Delsin Menolascino, ShiNung Ching

Institution: Washington University in St. Louis

Language: English

Topic: Neural Networks and Applications

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funders: National Science Foundation, Burroughs Wellcome Fund, Division of Civil, Mechanical and Manufacturing Innovation, Division of Electrical, Communications and Cyber Systems, Air Force Office of Scientific Research

OpenAlex ID: W2497324185

FWCI: 0.18

Cites: 9

Cited by: 1

Related to: 10