Abstract
Pattern recognition issues in contemporaneous applications and its performance enhancement in learning system using multi-swarm optimization radial basis function neural network is focused on in this paper. To improve efficiency of pattern recognition, multi-swarm optimization is used as the extension of the conventional radial basis function network. The extended neural modeling with radial network and with the incorporation of multi-swarm optimization has proved better accuracy than the traditional and PSO-RBF-neuro modeling. A comparative evaluation is carried out for retrieval accuracy for the developed recognition system and is evaluated for the accuracy for the pattern recognition system.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Qingjiang, L.I.: Tuberculosis prediction method based on PSO-RBF neural network. J. Comput. Inf. Syst. 8, 10243–10250 (2012)
Sharma, J., Mehta, S.: Training of radial basis function using particle swarm optimization. Int. J. Eng. Res. Dev. 7(10), 01–10 (2013). e-ISSN:2278-067X, p-ISSN:2278-800X, www.ijerd.com
Zirkohi, M.M., Fateh, M.M., Akbarzade, A.: Design of radial basis function network using adaptive particle swarm optimization and orthogonal least squares. J. Softw. Eng. Appl. 3, 704–708 (2010)
Qasem, S.N., Shamsuddin, S.M.H.: Improving generalization of radial basis function network with adaptive multi-objective particle swarm optimization. In: Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics San Antonio, TX, USA (2012)
Omran, M.G.H., Engelbrecht, A.P., Salman, A.: Dynamic clustering using particle swarm optimization with application in unsupervised image classification. Trans. Eng. Comput. Technol. 9, (2005). ISSN:1305-5313
Arvind, T., Venkataraman, S., Prem, K.K.: Content based image classification with wavelet relevance vector machines. J. Soft Comput. 14(2), 129–136 (2010)
Kekre, H.B., Sudeep, T., Akshay, M.: Query by image content using color-texture features extracted from haar wavelet pyramid. In: IJCA Special Issue on Computer Aided Soft Computing Techniques for Imaging and Biomedical Applications, CASCT (2010)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer India
About this paper
Cite this paper
Shyama Chandra Prasad, G., Govardhan, A., Rao, T.V. (2016). Accuracy Assessment of Images Classification Using RBF with Multi-swarm Optimization Methodology. In: Satapathy, S., Raju, K., Mandal, J., Bhateja, V. (eds) Proceedings of the Second International Conference on Computer and Communication Technologies. Advances in Intelligent Systems and Computing, vol 381. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2526-3_68
Download citation
DOI: https://doi.org/10.1007/978-81-322-2526-3_68
Published:
Publisher Name: Springer, New Delhi
Print ISBN: 978-81-322-2525-6
Online ISBN: 978-81-322-2526-3
eBook Packages: EngineeringEngineering (R0)