Neural Network Modeling and Particle Swarm Optimization (PSO) of Process Parameters in Pulsed Laser Micromachining of Hardened AISI H13 Steel

Author： Ciurana J.  

Publisher： Taylor & Francis Ltd

ISSN： 1042-6914

Source： Materials and Manufacturing Processes, Vol.24, Iss.3, 2009-03, pp. : 358-368

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

Chaotic particle swarm optimization with neural network structure and its application

By Sun Y.   Wang Z.  

Engineering Optimization, Vol. 43, Iss. 1, 2011-01 ,pp. : 19-37

Taylor & Francis Ltd

Access to resources Recommend Favorite

Particle Swarm Optimization: Intelligent Neural Network System (PSOINNS) Based Multi-Objective Optimization of Surface Grinding Operations

By  

International Journal of Materials Forming and Machining Processes (IJMFMP), Vol. 2, Iss. 1, 2015-01 ,pp. : 54-87

IGI Global_journal

Access to resources Recommend Favorite

Particle Swarm Optimization Based Technique for Deposition Parameters Optimization of Magnetron Sputtering Process

By  

Advanced Materials Research, Vol. 2015, Iss. 1109, 2015-07 ,pp. : 486-490

Trans Tech Publications

Access to resources Recommend Favorite

A Particle Swarm Optimization Approach for Minimizing GDT Error in Additive Manufactured Parts: PSO Based GDT Minimization

By  

International Journal of Manufacturing, Materials, and Mechanical Engineering (IJMMME), Vol. 7, Iss. 3, 2017-07 ,pp. : 69-80

IGI Global_journal

Access to resources Recommend Favorite

Determination of Steel Carburizing Parameters by Using Neural Network

By Lisjak D.  

Materials and Manufacturing Processes, Vol. 24, Iss. 7-8, 2009-07 ,pp. : 772-780

Taylor & Francis Ltd

Access to resources Recommend Favorite