Research Methodology on Modified RBF Neural Networks for Pattern Recognition

International Journal of Computer Science and Engineering
© 2017 by SSRG - IJCSE Journal
Volume 4 Issue 11
Year of Publication : 2017
Authors : Janaiah Boddupally

How to Cite?

Janaiah Boddupally, "Research Methodology on Modified RBF Neural Networks for Pattern Recognition," SSRG International Journal of Computer Science and Engineering , vol. 4,  no. 11, pp. 15-18, 2017. Crossref,


This research review paper discusses about a systematic research methodology on Modified RBF Neural Networks for Pattern Recognition.


Pattern Recognition, Neural Networks, Modified RBF.


[1] Manesh Kokare, B.N. Chatterji and P.K. Biswas ―Wavelet Transform Based Texture Features for Content Based Image Retrieval.
[2] Arvind Tolambiy, S.Venkataraman and Prem K. Kalra ―Content Based Image Classification with Wavelet Relevance Vector Machines.
[3] Dr.H.B.Kekre, Sudeep D. Thepade and Akshay Maloo ―Query By Image Content Using Color-Texture Features Extracted From Haar Wavelet Pyramid.
[4] Yuhua Zhu, Xiuwen Liu and Washington Mio ―Content-Based Image Categorization and Retrieval Using Neural Networks.
[5] SavvasA. Chatzichristofis, Konstantinos Zagorisy,Yiannis S. Boutalisz and Nikos Papamarkosx Accurate Image Retrieval Based On Compact Composite Descriptors And Relevance Feedback Information, International Journal Of Pattern Recognition Artificial Intelligence Vol. 24, No. 2 (2010) 207_244.
[6] Savitha Sivan1, Thusnavis Bella Mary.I ―An Optimized Feature Extraction Technique for Content Based Image Retrieval.
[7] Katarzyna Agnieszka Olkiewicz, Urszula Markowska-Kaczmar Emotion-Based Image Retrieval12.
[8] Yuhua Zhu, Xiuwen Liu, Washington Mio Content-Based Image Categorization and Retrieval Using Neural Networks.
[9] Abby A. Goodrum,Image Information Retrieval:n Overview of Current Research, Special issue on information science research, Vol3, No2, 2000.
[10] Raushan Ara Dilruba, Nipa Chowdhury, Farhana Ferdousi Liza, Chandan Kumar Karmakar, Data Pattern Recognition Using Neural Network With Back-Propagation Training, 4th International Conference on Electrical and Computer Engineering ICECE 2006, 19-21 December 2006, Dhaka, Bangladesh.
[11] Min Han, Member, IEEE, Wei Guo, Yunfeng Mu, A Modified RBF Neural Network in Pattern Recognition, Proceedings of International Joint Conference on Neural Networks, Orlando, Florida, USA, August 12-17, 2007.
[12] Qingjiang LI, Tuberculosis Prediction Method Based On PSO-Radial Basis Function Neural Network Journal of Computational Information Systems.
[13] Jagriti Sharma1, Sunali Mehta2, Training of Radial Basis Function Using Particle Swarm Optimization ―International Journal of Engineering Research and Development E-ISSN: 2278-067X, P-ISSN: 2278-800X, www.Ijerd.Com Volume 7, Issue 10 (July 2013), PP. 01-10.
[14] Mahamed G.H. Omran, Andries P Engelbrecht, and Ayed Salman Dynamic Clustering Using Particle Swarm Optimization with Application in Unsupervised Image Classification Transactions on Engineering, Computing and Technology V9 November 2005 ISSN 1305-5313.
[15] Changhe Li, Shengxiang Yang Fast Multi-swarm Optimization for Dynamic Optimization Problems.
[16] Sultan Noman Qasem, Siti Mariyam Hj. Shamsuddin Improving Generalization of Radial Basis Function Network With Adaptive Multi-Objective Particle Swarm Optimization, Proceedings Of The 2009 IEEE International Conference On Systems, Man, And Cybernetics San Antonio, TX, USA - October 2009.
[17] Majid Moradi Zirkohi, Mohammad Mehdi Fateh, Ali Akbarzade Design Of Radial Basis Function Network Using Adaptive Particle Swarm Optimization And Orthogonal Least Squares. Software Engineering & Applications, 2010, 3, 704-708 doi:10.4236/jsea.2010.37080 Published Online July 2010.
[18] R. M. Haralick, K. Shanmugam, and I. Din stein, ―Textural features for image. Classification, transactions on Systems, Man and Cybernetics, 3(6):610 - 621, 1973.
[19] Dong-Chen He and Li Wang. Texture Unit, Texture Spectrum, And Texture Analysis, 1990 IEEE.
[20] Gary Kay and Gerhard de Jager A Versatile Color System Capable of Fruit Sorting and Accurate Object Classification IEEE, pp 145-148.
[21] C. Palm. Color texture classification by integrative co-occurrence matrices. Pattern Recognition, 37(5): 965{976, 2004.
[22] M. Singh, M. Markou, and S. Singh. Color image Texture analysis: dependence on color space. In C. Y. Suen, R. Kasturi, and R. Plam-london, editors.
[23] L.Hepplewhite and T.J Stonham.Texture Classification Using N-tuple pattern Recognition.IEEE.
[24] M.Barni,A.W.Mussa,A.Mecocci.V.Cappelline,T.S.Durrani. An Intelligent Perception System For Natural Quality inspection using Color analysis, 2005 IEEE.
[25] B.S.Anami,Vishwanath Burkpalli,S.Agadi,Nagamma Patil, A Neural Network Approach for Grain Classification and gradation,2003.