Work

Adequate Input for Learning in Attractor Neural Networks

Year: 1993

Type: conference-paper

Source: Springer eBooks

DOI: 10.1007/978-1-4471-2063-6_6

Authors: Daniel J. Amit, Nicolas Brunel

Institutions: Istituto Nazionale di Fisica Nucleare, Sezione di Roma I, Sapienza University of Rome

Language: English

Topic: Neural Networks and Applications

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W2009615869

FWCI: 2.03

Cites: 13

Cited by: 8

Related to: 10