Universiti Teknologi Malaysia Institutional Repository

Quantum particle swarm optimization for elman recurrent network

Shamsuddin, Siti Mariyam and Ab. Aziz, Mohamad Firdaus (2010) Quantum particle swarm optimization for elman recurrent network. In: Asia Modelling Symposium 2010 : 4th Asia International Conference on Mathematical Modelling and Computer Simulation, 26-28 Mac 2010, Borneo Island, Kota Kinabalu, Sabah.

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Official URL: http://dx.doi.org/10.1109/AMS.2010.39

Abstract

Particle swarm optimization (PSO) was successfully applied to enhance the classification accuracy in Elman recurrent neural network but the search ability on PSO is still in random. In this paper, a Quantum based approach is implemented to improve the searching ability of the individual particle of PSO. From the experiments, we found the results are promising with quantum techniques and the output is promising.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:elman recurrent network, particle swarm optimization, quantum, classification
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:Computer Science and Information System (Formerly known)
ID Code:24210
Deposited By: Liza Porijo
Deposited On:25 Sep 2012 03:27
Last Modified:25 Sep 2012 03:29

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