Implementation of Techniques of Soft Computing on Bio Medical Image Processing
DOI:
https://doi.org/10.61841/t31m7s50Keywords:
fuzzy logic, soft computing, genetic algorithm, optimization algorithms.Abstract
this paper proposes a solution to those real world problems that cannot be solved mathematically by soft computing. It enables solution to ambiguous problems by a fusion of methodologies. Soft computing comprise of complementary elements of fuzzy logic, evolutionary computation and neural computing. Applications of soft computing are found in various areas, most importantly image processing. Applications of different methods of soft computing are found in biological and industrial processes, financial and investment trading and engineering design. The literature is analysed based on the style of method of soft computing, the discipline of investment used, and demonstration of success and application of research in real world problems.
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References
[1] Ovidiu MOLDOVAN, CSOKMAI, “A Survey on soft computing techniques used in
Intelligent BuildingControl”, Recent Innovations inMechatronics’, Vol.1.(2014)
[2] Ridhima. A. Dhopte, Zeba Ali,” Recent Trends and Applications of Soft Computing: A Survey” International
Journal Of Computer Science And Applications Vol. 6, No.2, Apr 2013 ISSN: 0974-1011
[3] F. T. Martins-Bede, L. Godo, S. Sandri, C. C. Freitas, L. V. Dutra, R. J. P. S. prevalence using fuzzy casebased reasoning. In Proc of IWANN'09.
[4] Tan , C.N.W. , Artificial Neural Network:Application in Financial Distress Prediction And Foriegn Exchange
Trading . 2001, gold coast ,QLD:
[5] Mantas Paulinas and AndriusUsinskas, ”A Survey of Genetic Algorithms Applicatonsfor Image Enhancement
and Segmentation”, Information Technology and Control, Vol.36, No.3, 2007, pp.278-284.
[6] M. Jamshidi. Special issue on neural networks and fuzzy logic: theory and applications in robotics and
manufacturing. Computer. Electro. Eng., 19(4), 1993.
[7] De Jong, K. A., Spears, W. M., Gordon, D.F., Using genetic algorithms for concept learning, Machine
Learning, Vol. 13, Is. 2-3, pp. 161–188, 1993.
[8] Pawar, P. M., Ganguli, R., Genetic fuzzy system for online structural health monitoring of composite
helicopter rotor blades, Mechanical Systems and Signal processing, 21: 2212- 2236, 2007.
[9] Smoczek, J., Szpytko, J., A genetic fuzzy approach to estimate operating time of transport device, Journal of
KONES Powertrain and Transport, Vol. 18, No. 4, pp. 601-608, 2011.
[10] Weiss, G., Time weaver: A genetic algorithm for identifying predictive patterns in sequences of events, In
Proceedings of the Genetic and Evolutionary Computation Conference, Morgan Kaufmann, pp. 718–725,
San Francisco, CA 1999.
[11] Chan, K.C.C. and K.T. Foo. Enhancing TechnicalAnalysis in the Forex market using Neural Networks. In
IEEE International Conference on Neural Networks 1995.
[12] Metin Kaya, ”Image Clustering and Compression Using An Annealed Fuzzy Hopfield Neural Network”,
International Journal of Signal Processing, 2005, pp.80-88.
[13] J. Scharcanski and C. T. J. Dodson, “Neural network model for paper-forming process,” IEEE Trans. Ind.
Applicant., vol. 33, pp.826–839, May/June 1997.
[14] Y.-Z. Lu, M. He, and C.-W. Xu, “Fuzzy modeling and expert optimization control for industrial processes,”
IEEE Trans. Contr. Syst. Technol., vol. 5, p.212, Jan. 1997.
[15] Y. Maki and K. A. Loparo, “A neural-network approach to fault detection and diagnosis in industrial
processes,” IEEE Trans. Contr. Syst. Technol., vol. 5, pp.529–541, Nov. 1997. logic controller. Int. J. ManMachine Studies, 7:1{13, 1975.
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