Diagnosis of Epilepsy Disorders Using Artificial Neural Networks

被引：0

作者：

Shukla, Anupam ^{[1
]}

Tiwari, Ritu ^{[1
]}

Kaur, Prabhdeep ^{[1
]}

机构：

[1] ABV IIITM, Gwalior, India

来源：

SIXTH INTERNATIONAL SYMPOSIUM ON NEURAL NETWORKS (ISNN 2009) | 2009年 / 56卷

关键词：

Artificial Neural Networks; Back-Propagation Networks (BPN); Radial Basis Function Networks (RBFN); Learning Vector Quantization Network (LVQN); Epilepsy and Diagnosis;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Epilepsy is a common chronic neurological disorder that is characterized by recurrent unprovoked seizures. About 50 million people worldwide have epilepsy at any one time. This paper presents an Intelligent Diagnostic System for Epilepsy using Artificial Neural Networks (ANNs). In this approach the feed-forward neural network has been trained using three ANN algorithms, the Back propagation algorithm (BPA), the Radial Basis Function (RBF) and the Learning Vector Quantization (LVQ). The simulator has been developed using MATLAB and performance is compared by considering the metrics like accuracy of diagnosis, training time, number of neurons, number of epochs etc. The results obtained clearly shows that the presented methods have improved the inference procedures and are advantageous over the conventional architectures on both efficiency and accuracy.

引用

页码：807 / 815

页数：9

共 16 条

[1] Aliev R.A., 2001, Soft Computing and Its Applications
[2] [Anonymous], NEURAL NETWORKS TOOL
[3] DELRIO RA, INTERNET J NEUROLOGY, V7
[4] Epilepsy care in the world: Results of an ILAE/IBE/WHO global campaign against epilepsy survey
Dua, Tarun
de Boer, Hanneke M.
Prilipko, Leonid L.
Saxena, Shekhar
[J]. EPILEPSIA, 2006, 47 (07) : 1225 - 1231
[5] FREEMAN JA, 1999, NEURAL NETWORKS
[6] GHOSH A, 2004, 2004902 U GRON
[7] Generalized relevance learning vector quantization
Hammer, B
Villmann, T
[J]. NEURAL NETWORKS, 2002, 15 (8-9) : 1059 - 1068
[8] Hecht-Nielsen R., 1989, IJCNN: International Joint Conference on Neural Networks (Cat. No.89CH2765-6), P593, DOI 10.1109/IJCNN.1989.118638
[9] Jankowski Norbert., 1999, 4th Conference on Neural Networks and Their Applications, P77
[10] Lisboa PJG, 2000, PERSP NEURAL COMP, P63

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