The Research of Quantum-Behaved Particle Swarm Optimization in Gear Steel Hardenability Prediction

Yu Ping Chen

doi:10.4028/www.scientific.net/AMR.912-914.479

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 912-914The Research of Quantum-Behaved Particle Swarm...

The Research of Quantum-Behaved Particle Swarm Optimization in Gear Steel Hardenability Prediction

Abstract:

Problems of uncertainty for gear steel hardenability control in rolling process, this article will applied improved Quantum-behaved Particle Swarm Optimization algorithm to the uncertainty, using the optimization algorithm to train the neural network by improving quantum groups, build optimized gear steel quenching permeability control neural network model. Simulation results show that this algorithm is an effective solution to the problem of gear steel hardenability predictive control. Keywords: Quantum-behaved Particle Swarm Optimization, gear steel, Hardenability

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Periodical:

Advanced Materials Research (Volumes 912-914)

Pages:

479-482

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.912-914.479

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Online since:

April 2014

Authors:

Yu Ping Chen*

Keywords:

Gear Steel, Hardenability, Quantum-Behaved Particle Swarm Optimization

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