EEG signal classification using PSO trained RBF neural network for epilepsy identification
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Satchidananda Dehuri | Alok Kumar Jagadev | Sandeep Kumar Satapathy | S. Satapathy | Satchidananda Dehuri | A. Jagadev
[1] Christopher J. James,et al. Extracting multisource brain activity from a single electromagnetic channel , 2003, Artif. Intell. Medicine.
[2] Daniel Graupe,et al. A neural-network-based detection of epilepsy , 2004, Neurological research.
[3] A J Gabor,et al. Automated interictal EEG spike detection using artificial neural networks. , 1992, Electroencephalography and clinical neurophysiology.
[4] Hasan Ocak,et al. Automatic detection of epileptic seizures in EEG using discrete wavelet transform and approximate entropy , 2009, Expert Syst. Appl..
[5] Cenk Sahin,et al. A Radial Basis Function Neural Network Model for Classification of Epilepsy Using EEG Signals , 2008, Journal of Medical Systems.
[6] H. Stanley,et al. Quantification of scaling exponents and crossover phenomena in nonstationary heartbeat time series. , 1995, Chaos.
[7] T. Inouye,et al. Quantification of EEG irregularity by use of the entropy of the power spectrum. , 1991, Electroencephalography and clinical neurophysiology.
[8] Sung-Bae Cho,et al. Evolutionarily optimized features in functional link neural network for classification , 2010, Expert Syst. Appl..
[9] Arthur Petrosian,et al. Kolmogorov complexity of finite sequences and recognition of different preictal EEG patterns , 1995, Proceedings Eighth IEEE Symposium on Computer-Based Medical Systems.
[10] Yue Shi,et al. A modified particle swarm optimizer , 1998, 1998 IEEE International Conference on Evolutionary Computation Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98TH8360).
[11] Liang Zhao,et al. PSO-based single multiplicative neuron model for time series prediction , 2009, Expert Syst. Appl..
[12] Sung-Bae Cho,et al. DE+RBFNs based classification: A special attention to removal of inconsistency and irrelevant features , 2013, Eng. Appl. Artif. Intell..
[13] Ting Wang,et al. EEG Eye State Identification Using Incremental Attribute Learning with Time-Series Classification , 2014 .
[14] K Lehnertz,et al. Non-linear time series analysis of intracranial EEG recordings in patients with epilepsy--an overview. , 1999, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.
[15] Sultan Noman Qasem,et al. Hybrid Learning Enhancement of RBF Network Based on Particle Swarm Optimization , 2009, ISNN.
[16] Jacek M. Zurada,et al. Training neural network classifiers for medical decision making: The effects of imbalanced datasets on classification performance , 2008, Neural Networks.
[17] Fernando Lopes da Silva,et al. Comprar Niedermeyer's Electroencephalography, 6/e (Basic Principles, Clinical Applications, and Related Fields ) | Fernando Lopes Da Silva | 9780781789424 | Lippincott Williams & Wilkins , 2010 .
[18] B. Hjorth. EEG analysis based on time domain properties. , 1970, Electroencephalography and clinical neurophysiology.
[19] Steven M. Pincus,et al. A regularity statistic for medical data analysis , 1991, Journal of Clinical Monitoring.
[20] Brian Litt,et al. Special issue on epileptic seizure prediction , 2003, IEEE Trans. Biomed. Eng..
[21] C. Robert,et al. Electroencephalogram processing using neural networks , 2002, Clinical Neurophysiology.
[22] R Ferri,et al. Chaotic behavior of EEG slow-wave activity during sleep. , 1996, Electroencephalography and clinical neurophysiology.
[23] Satchidananda Dehuri,et al. An Empirical Analysis of Training Algorithms of Neural Networks: A Case Study of EEG Signal Classification Using Java Framework , 2015 .
[24] K Lehnertz,et al. Indications of nonlinear deterministic and finite-dimensional structures in time series of brain electrical activity: dependence on recording region and brain state. , 2001, Physical review. E, Statistical, nonlinear, and soft matter physics.
[25] Sung-Bae Cho,et al. An improved swarm optimized functional link artificial neural network (ISO-FLANN) for classification , 2012, J. Syst. Softw..
[26] J. Gotman. Automatic recognition of epileptic seizures in the EEG. , 1982, Electroencephalography and clinical neurophysiology.
[27] Abdulhamit Subasi,et al. Wavelet neural network classification of EEG signals by using AR model with MLE preprocessing , 2005, Neural Networks.
[28] Kaushik Majumdar,et al. Human scalp EEG processing: Various soft computing approaches , 2011, Appl. Soft Comput..
[29] Gholam Ali Montazer,et al. An improvement in RBF learning algorithm based on PSO for real time applications , 2013, Neurocomputing.
[30] Abdulhamit Subasi,et al. EEG signal classification using PCA, ICA, LDA and support vector machines , 2010, Expert Syst. Appl..
[31] T. Higuchi. Approach to an irregular time series on the basis of the fractal theory , 1988 .
[32] S. J. Roberts,et al. Temporal and spatial complexity measures for electroencephalogram based brain-computer interfacing , 2006, Medical & Biological Engineering & Computing.
[33] Huaguang Zhang,et al. Chaotic Dynamics in Smart Grid and Suppression Scheme via Generalized Fuzzy Hyperbolic Model , 2014 .
[34] Yanchun Liang,et al. Identification and control of nonlinear systems by a dissimilation particle swarm optimization-based Elman neural network , 2008 .
[35] James Kennedy,et al. Particle swarm optimization , 1995, Proceedings of ICNN'95 - International Conference on Neural Networks.
[36] Jukka Saarinen,et al. Classification of Epileptic EEG by Using Self-Organizing Maps , 1992 .
[37] Saeid Sanei,et al. EEG signal processing , 2000, Clinical Neurophysiology.
[38] Ramaswamy Palaniappan,et al. A combined linear & nonlinear approach for classification of epileptic EEG signals , 2009, 2009 4th International IEEE/EMBS Conference on Neural Engineering.
[39] Leandro dos Santos Coelho,et al. Multi-step ahead nonlinear identification of Lorenz’s chaotic system using radial basis neural network with learning by clustering and particle swarm optimization , 2008 .
[40] U. Rajendra Acharya,et al. Automated EEG analysis of epilepsy: A review , 2013, Knowl. Based Syst..
[41] Juliang Jin,et al. A Novel Clustering Model Based on Set Pair Analysis for the Energy Consumption Forecast in China , 2014 .
[42] Michael R. Lyu,et al. A hybrid particle swarm optimization-back-propagation algorithm for feedforward neural network training , 2007, Appl. Math. Comput..
[43] Tom Fawcett,et al. An introduction to ROC analysis , 2006, Pattern Recognit. Lett..
[44] Ralph Weischedel,et al. PERFORMANCE MEASURES FOR INFORMATION EXTRACTION , 2007 .