Using support vector machines for the computationally efficient identification of acceptable design parameters in computer-aided engineering applications
Year: 2017
Type: article
Source: Expert Systems with Applications
Institutions: Queensland University of Technology, Politecnico di Milano
Language: English
Field: Decision Sciences
Domain: Social Sciences
Open Access status: bronze
OpenAlex ID: W2603973367