A New Kind of Optimization Method for Gear Design

Abstract:

In order to raise the design efficiency and get the most excellent design effect, this paper combined Particle Swarm Optimization (PSO) algorithm and put forward a new kind of neural network, based on PSO algorithm and NARMA model. It gives the basic theory, steps and algorithm; The test results show that rapid global convergence and reached the lesser mean square error MSE) when compared with Genetic Algorithm, Simulated Annealing Algorithm, the BP algorithm with momentum term.

• Periodical: Applied Mechanics and Materials (Volumes 190-191)
• Pages: 7-10
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.190-191.7
• Online since: July 2012
• Authors: Yu Guo Wu
• Keywords: Monopole-Gear, Neural Network (NN), Particle Swarm Optimization (PSO)

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