Work

Universal approximation with error bounds for dynamic artificial neural network models: A tutorial and some new results

Year: 2011

Type: conference-paper

Source: IEEE International Symposium on Computer-Aided Control System Design (CACSD)

DOI: 10.1109/cacsd.2011.6044542

Authors: Kwang Ki Kevin Kim, Ernesto Rios Patron, Richard D. Braatz

Institutions: University of Illinois Urbana-Champaign, Massachusetts Institute of Technology, Universidad Nacional Autónoma de México

Language: English

Topic: Neural Networks and Applications

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W2127935069

FWCI: 0.751

Cites: 34

Cited by: 12

Related to: 10