%A Mr Rakesh Kumar Sinha %J Online Journal of Health and Allied Sciences %T Backpropagation Artificial Neural Network To Detect Hyperthermic Seizures In Rats %X A three-layered feed-forward back-propagation Artificial Neural Network was used to classify the seizure episodes in rats. Seizure patterns were induced by subjecting anesthetized rats to a Biological Oxygen Demand incubator at 45-47?C for 30 to 60 minutes. Selected fast Fourier transform data of one second epochs of electroencephalogram were used to train and test the network for the classification of seizure and normal patterns. The results indicate that the present network with the architecture of 40-12-1 (input-hidden-output nodes) agrees with manual scoring of seizure and normal patterns with a high recognition rate of 98.6%. %N 4 %K Artificial Neural Network, fast Fourier transform, electroencephalogram, Hyperthermic seizures %E Dr Srinivas Kakkilaya Bevinje %V 1 %D 2002 %I Kakkilaya BS %L cogprints3226