Classification of EEG signals for epileptic seizures using Levenberg-Marquardt algorithm based Multilayer Perceptron Neural Network

Author:

Narang Ankit1,Batra Bhumika1,Ahuja Arpit1,Yadav Jyoti1,Pachauri Nikhil2

Affiliation:

1. Department of Instrumentation and Control, Netaji Subhas Institute of Technology, Azad Hind Fauj Marg, Dwarka, Delhi, India

2. Department of Electrical and Electronics Engineering, Delhi Technical Campus, Greater Noida, Uttar Pradesh, India

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference19 articles.

1. El-Kishky A. , Assessing Entropy and Fractal Dimensions as Discriminants of Seizures in EEG Time Series, The 11th International Conference on Information Sciences, Signal Processing and their Applications: Main Tracks.

2. Gardner A.B. , A Novelty Detection Approach to Seizure Analysis from Intracranial EEG, Georgia Institute of Technology, Atlanta, GA USA, 2004.

3. EEG Time series data;Andrzejak;Department of Epileptology, University of Bonn, Germany Phys Rev E, 64

4. Azami H. , Saraf M. and Mohammadi K. , A new signal segmentation approach based on singular value decomposition and intelligent Savitzky-Golay filter. Movaghar A., Jamzad M. and AsadiH., (eds.), Artificial Intelligence and Signal Processing AISP 2013. Communications in Computer and Information Science vol. 427. Springer, Cham.

5. Support vector machine classification and validation of cancer tissue samples using microarray expression data;Furey;Bioinformatics,2000

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