1. Shareduwan, M., K. Mohd, A.M. Mohd and S. Saratha, 2016. Hybrid genetic algorithm in the hopfield network for logic satisfiability problem. Pertanika J., .
2. Shareduwan, M., K. Mohd and S. Saratha, 2016. Accelerating activation function for 3-satisfiability logic programming. Int. J. Intell. Syst., .
3. Sagir, A.M and S. Saratha, 2016. The self organizing map as a tool for cluster analysis. Pertanika, .
4. Mansor, M.A., S. Mohd, K. Mohd and S. Saratha, 2016. Enhanced hopfield network for pattenn satisfiabiality problem. Int. J. Intell. Syst., .
5. Velavan, M., R.Y. Zainor, N.A.H. Mohamad and S. Saratha, 2015. Boltzmann machine and and hyperbolic activation function in higher order neuro symbolic integration. Int. J. Comput. Electr. Aspects Eng., 1: 10-14.
6. Sathasivam, S., 2015. Acceleration technique for neuro symbolic integration. Appl. Math. Sci., 9: 409-417.
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7. Pwasong, A.D and S. Saratha, 2015. Forecasting performance of random walk with drift and feed forward neural network models. Int.J. Intell. Syst. Appl., 9: 49-56.
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8. Pwasong, A and S. Saratha, 2015. A new hybrid quadratic regression and cascade forward backpropagation neural network. Neuro Comput., 182: 197-209.
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9. Davou, P.A and S. Saratha, 2015. Statistical neural networks in the classification of alcoholic liver disease and nonalcoholic fatty liver disease. Int. J. Comput. Electr. Aspects Eng., 1: 5-9.
10. Sathasivam, S and M.S. Abdu, 2014. Comparative study of euclidean and city block distances in fuzzy c-means clustering algorithm. Int. J. Comput. Electr. Aspects Eng., 1: 10-12.
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11. Mamuda, M and S. Saratha, 2014. Comapring logic programming in radial basis function neural network (rbfnn) and hopfield neural network. Int. J. Comput. Electr. Aspects Eng., 1: 13-19.
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12. Sathasivam, S., P.F. Ng and V. Muraly, 2013. Reverse analysis in higher order hopfield network for higher order horn clauses. Appl. Math. Sci., 8: 601-612.
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13. Sathasivam, S., P.F. Ng and H. Nawaf, 2013. Developing agent based modeling for reverse analysis method. Res. J. Appl. Sci. Eng. Technol., 6: 4281-4288.
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14. Sathasivam, S and P.F. Ng, 2013. Developing agent based modeling for doing logic programming in hopfield network. Appl. Math. Sci., 7: 23-35.
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15. Sathasivam, S and P.F. Ng, 2013. Assimilating boltzmann machine and reverse analysis method. Math. Sci. Int. Res. J., 2: 312-319.
16. Hamadneh, N., L.T. Surafel, S. Saratha and H.C. Ong, 2013. Prey-Predator algorithm as a new optimization technique using in radial basis function neural networks. Res. J. Appl. Sci., 8: 383-387.
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17. Sathasivam, S., 2012. Performance comparison between pseudo inverse rule and sign constraint method. Far East J. Math. Sci., 62: 51-59.
18. Sathasivam, S., 2012. First order logic in neuro-symbolic integration. Far East J. Math. Sci., 61: 213-229.
19. Sathasivam, S., 2012. Applying knowledge reasoning techniques in neural networks. Aust. J. Basic Appl. Sci., 6: 53-56.
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20. Sathasivam, S., 2012. Applying fuzzy logic in neuro symbolic integration. World Appl. Sci. J., 17: 79-86.
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21. Hamadneh, N., S. Sathasivam, U.L. Tilahun and O.H. Choon, 2012. Learning logic programming in radial basis function network via genetic algorithm. J. App. Sci., 12: 840-847.
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22. Hamadneh, N., S. Sathasivam and O.H.Choon, 2012. Higher order logic programming in radial basis function neural network. Applied Math. Sci., 6: 115-127.
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23. Sathasivam, S., H. Nawaf and H.C. Ong, 2011. Comparing neural networks : Hopfield network and rbf network. Appl. Math. Sci., 5: 3439-3452.
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24. Sathasivam, S., 2011. Boltzmann machine and new activation function comparison. Appl. Math. Sci., 5: 3853-3860.
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25. Sathasivam, S., 2010. Normal form representation in doing logic programming in hopfield network. Far East J. Math. Sci., 47: 185-200.
26. Sathasivam, S., 2010. Accelerating neuro-symbolic integration by using boltzmann machine. Far East J. Math. Sci., 43: 241-251.
27. Sathasivam, S., 2009. Logical content in the recurrent hopfield network without higher order connections. Eur. J. Sci. Res., 37: 361-367.
28. Sathasivam, S., 2009. Enhancing logic programming performance in recurrent hopfield Eur. J. Sci. Res., 37: 6-11.