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- S. N. Deepa, B. A. Devi
- 2012 International Conference on Computer…
- 2012

In this system, we exploit the capability of Back propagation neural network (BPN) and Radial Basis Function Neural network (RBFN) to classify brain MRI images to either cancerous or noncancerous tumour automatically. It is classified with respective to symmetry of brain image, exhibited in the axial and coronal images. The initial objective of this study… (More)

- S. N. Deepa, G. Sugumaran
- Swarm and Evolutionary Computation
- 2011

- Anuradha Patra, Divakar Singh, +18 authors L. Y. Li
- 2013

Text classification approach gaining more importance because of the accessibility of large number of electronic documents from a variety of resource. Text categorization is the task of assigning predefined categories to documents. It is the method of finding interesting regularities in large textual, where interesting means non trivial, hidden, previously… (More)

- K. Gnana Sheela, S. N. Deepa
- Neurocomputing
- 2013

- K. Gnana Sheela, S. N. Deepa
- Soft Comput.
- 2014

- Chellasamy Rani, S. N. Deepa
- IJIIT
- 2011

This paper proposes a modified form of operator based on Particle Swarm Optimization (PSO) for designing Genetic Fuzzy Rule Based System (GFRBS). The usual procedure of velocity updating in PSO is modified by calculating the velocity using chromosome’s individual best value and global best value based on an updating probability without considering the… (More)

- M. Madhiarasan, S. N. Deepa
- Applied Intelligence
- 2015

This paper analyzes various earlier approaches for selection of hidden neuron numbers in artificial neural networks and proposes a novel criterion to select the hidden neuron numbers in improved back propagation networks for wind speed forecasting application. Either over fitting or under fitting problem is caused because of the random selection of hidden… (More)

- C. Rania, S. N. Deepa
- Biometrics Technology
- 2010

- Pugalendhi GaneshKumar, Chellasamy Rani, S. N. Deepa
- International Journal of Uncertainty, Fuzziness…
- 2013

This paper proposes an Enhanced Particle Swarm Optimization (EPSO) for extracting optimal rule set and tuning membership function for fuzzy logic based classifier model. The standard PSO is more sensitive to premature convergence due to lack of diversity in the swarm and can easily get trapped into local minima when it is used for data classification. To… (More)