Work

Feature Selection from Barkhausen Noise Data Using Genetic Algorithms with Cross-Validation

Year: 2009

Type: conference-paper

Source: Lecture notes in computer science

DOI: 10.1007/978-3-642-04921-7_22

Authors: Aki Sorsa, Kauko Leiviskä

Institution: University of Oulu

Language: English

Topic: Non-Destructive Testing Techniques

Subfield: Mechanical Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W1570758165

FWCI: 5.739

Cites: 16

Cited by: 12

Related to: 10