Classification of electroencephalogram signal for the detection of epilepsy using Innovative Genetic Programming-Reference-Cited by-同舟云学术

Classification of electroencephalogram signal for the detection of epilepsy using Innovative Genetic Programming

Published:2018-09-18 Issue:1 Volume:36 Page:e12338
ISSN:0266-4720
Container-title:Expert Systems
language:en
Short-container-title:Expert Systems

Author:

Bhardwaj Harshit¹,Sakalle Aditi²,Bhardwaj Arpit³,Tiwari Aruna⁴

Affiliation:

1. Computer Science and Engineering; KCC Institute of Technology and Management; Greater Noida India

2. Electronics Engineering; Acropolis Technical University; Indore India

3. Computer Science and Engineering; Bennett University; Greater Noida India

4. Computer Science and Engineering; Indian Institute of Technology Indore; Indore India

Publisher

Wiley

Subject

Artificial Intelligence,Computational Theory and Mathematics,Theoretical Computer Science,Control and Systems Engineering

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1111/exsy.12338/fullpdf

Reference33 articles.

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2. A radial basis function neural network model for classification of epilepsy using EEG signals;Aslan;Journal of Medical Systems,2008

3. Classification of seizure and nonseizure EEG signals using empirical mode decomposition;Bajaj;Information Technology in Biomedicine, IEEE Transactions on,2012

4. Breast cancer diagnosis using genetically optimized neural network model;Bhardwaj;Expert Systems with Applications.,2015

5. A novel genetic programming approach for epileptic seizure detection;Bhardwaj;Computer Methods and Programs in Biomedicine.,2016

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