Abstract
In this paper, a higher order neural network called Pi-Sigma neural network with an improved Particle swarm optimization has been proposed for data classification. The proposed method is compared with some of the other classifiers like PSO-PSNN, GA-PSNN and only PSNN. Simulation results reveal that, the proposed IPSO-PSNN outperforms others and has better classification accuracy. The result of the proposed method is tested with the ANOVA statistical tool, which proves that the method is statistically valid.
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Kanungo, D.P., Nayak, J., Naik, B., Behera, H.S. (2016). Non-Linear Classification using Higher Order Pi-Sigma Neural Network and Improved Particle Swarm Optimization: An Experimental Analysis. In: Behera, H., Mohapatra, D. (eds) Computational Intelligence in Data Mining—Volume 2. Advances in Intelligent Systems and Computing, vol 411. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2731-1_48
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DOI: https://doi.org/10.1007/978-81-322-2731-1_48
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