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EEG Signal Classification using RBF Neural Network Trained with Improved PSO Algorithm for Epilepsy Identification / Asad Rehman Khattak.

By: Rehman Khattak, Asad Contributor(s): Dr. Ali Hassan Material type: Text

TextPublisher: Islamabad : CEME - NUST, 2018Description: x, 52 p. : ill. ; 30cmSubject(s): Computer Engineering - MS ThesisDDC classification: 621.39

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Item type	Current location	Home library	Shelving location	Call number	Status	Date due	Barcode	Item holds
Thesis	Central Library (CL)	Central Library (CL)	Thesis	621.39 (Browse shelf)	Available		CL-T-190

Total holds: 0

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Previous	621.39 Automated Sentiment Analysis of Microblogs /	621.39 Target Tracking in Wireless Sensor Network /	621.39 Design and Implementation of an Efficient Micro-Coded Processor on FPGA for Wavelet Based Applications /	621.39 EEG Signal Classification using RBF Neural Network Trained with Improved PSO Algorithm for Epilepsy Identification /	621.39 Using a Mobile Platform for Detection and Classification of MRCPs in Electroncephalogram EEG Signals /	621.39 3D Path Planning for Multiple Aerial Robots Using Genetic Algorithm and B-Spline Curves /	621.39 Broker based QoS Centric Federated Cloud Framework with Financial Options /	Next

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