Titlebook: Computational Vision and Bio Inspired Computing; D. Jude Hemanth,S. Smys Conference proceedings 2018 Springer International Publishing AG

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Symbolic Dynamics of Trapezoidal Mapsa, Traingdm, and Traingdx) using feed forward neural network and feed forward back propagation network. The feed forward back propagation neural network gives better classification results than feed forward. The proposed classifier produced Accuracy of 92.6%, specificity of 100% and sensitivity of 91.2% and a mean square error of 0.978.

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