Identification of Epilepsy by Naïve Bayes classifier and Analysis Using Back Propagation Network

作者: Poornendu Prakash Tiwari , S. Vivekanandan

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摘要: This paper presents two different methods for detection of seizure in brain. Here we investigate the use Naive Bayes classifier and Backpropagation neural network given signals. bayes is simple probabilistic based on applying Bayes' theorem with independent assumptions. On other hand Backpropogation (BPN) algorithm a common method training artificial so as to minimize objective function. It works error hence name. have trained our EEG data using above used disease sample signal. Evaluating response epilepsy will enable medico obtain clues presence rehabilitation program lead more efficient step control at early stages disease.

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