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Fuzzy Information and EngineeringA New QPSO Based BP Neural Network for Face Detection

Fuzzy Information and Engineering: A New QPSO Based BP Neural Network for Face Detection [Quantum-behaved Particle Swarm Optimization (QPSO) algorithm is a quantum-inspired version of the particle swarm optimization (PSO) algorithm, which outperforms traditional PSOs in search ability as well as having less parameter to control. In this paper, QPSO technique is introduced into BP neural network to instead adopting gradient descent method in BP learning algorithm. Due to the characteristic of the QPSO algorithm, the problems of traditional BPNN can be avoided, such as easily converging to local minimum. Then we adopt the new learning algorithm to training a neural network for face detection, and the experiment results testify its efficiency in this.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Fuzzy Information and EngineeringA New QPSO Based BP Neural Network for Face Detection

Part of the Advances in Soft Computing Book Series (volume 40)
Editors: Cao, Bing-Yuan

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References (9)

Publisher
Springer Berlin Heidelberg
Copyright
© Springer-Verlag Berlin Heidelberg 2007
ISBN
978-3-540-71440-8
Pages
355 –363
DOI
10.1007/978-3-540-71441-5_40
Publisher site
See Chapter on Publisher Site

Abstract

[Quantum-behaved Particle Swarm Optimization (QPSO) algorithm is a quantum-inspired version of the particle swarm optimization (PSO) algorithm, which outperforms traditional PSOs in search ability as well as having less parameter to control. In this paper, QPSO technique is introduced into BP neural network to instead adopting gradient descent method in BP learning algorithm. Due to the characteristic of the QPSO algorithm, the problems of traditional BPNN can be avoided, such as easily converging to local minimum. Then we adopt the new learning algorithm to training a neural network for face detection, and the experiment results testify its efficiency in this.]

Published: Jan 1, 2007

Keywords: Quantum Particle Swarm Optimization; machine learning; BPNN; face detection

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