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This is carried out through the extraction of various time and frequency domain features. The two classifiers, i.e. Artificial Neural Network (ANN) and Support Vector Machine (SVM) are used and compared using various evaluation parameters. The simulation results and corresponding quantitative analysis shows that ANN classifier is superior to SVM.<\/jats:p>","DOI":"10.3233\/jifs-169460","type":"journal-article","created":{"date-parts":[[2018,3,23]],"date-time":"2018-03-23T12:25:56Z","timestamp":1521807956000},"page":"1669-1677","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":23,"title":["Classification of EEG signals for epileptic seizures using Levenberg-Marquardt algorithm based Multilayer Perceptron Neural Network"],"prefix":"10.1177","volume":"34","author":[{"given":"Ankit","family":"Narang","sequence":"first","affiliation":[{"name":"Department of Instrumentation and Control, Netaji Subhas Institute of Technology, Azad Hind Fauj Marg, Dwarka, Delhi, India"}]},{"given":"Bhumika","family":"Batra","sequence":"additional","affiliation":[{"name":"Department of Instrumentation and Control, Netaji Subhas Institute of Technology, Azad Hind Fauj Marg, Dwarka, Delhi, India"}]},{"given":"Arpit","family":"Ahuja","sequence":"additional","affiliation":[{"name":"Department of Instrumentation and Control, Netaji Subhas Institute of Technology, Azad Hind Fauj Marg, Dwarka, Delhi, India"}]},{"given":"Jyoti","family":"Yadav","sequence":"additional","affiliation":[{"name":"Department of Instrumentation and Control, Netaji Subhas Institute of Technology, Azad Hind Fauj Marg, Dwarka, Delhi, India"}]},{"given":"Nikhil","family":"Pachauri","sequence":"additional","affiliation":[{"name":"Department of Electrical and Electronics Engineering, Delhi Technical Campus, Greater Noida, Uttar Pradesh, India"}]}],"member":"179","published-online":{"date-parts":[[2018,3,22]]},"reference":[{"key":"e_1_3_1_2_2","volume-title":"Assessing Entropy and Fractal Dimensions as Discriminants of Seizures in EEG Time Series","author":"El-Kishky A.","unstructured":"El-KishkyA., 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."},{"key":"e_1_3_1_3_2","unstructured":"GardnerA.B. 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