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04:49 Aug 29, 2020 |
English to Polish translations [PRO] Science - Biology (-tech,-chem,micro-) | |||||||
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| Selected response from: Frank Szmulowicz, Ph. D. United States Local time: 05:41 | ||||||
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3 | metodologia analizy falkowej i ilościowego oznaczania chaotycznej dynamiki sieci neuronowych |
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metodologia analizy falkowej i ilościowego oznaczania chaotycznej dynamiki sieci neuronowych Explanation: metodologia analizy falkowej i ilościowego oznaczania chaotycznej dynamiki sieci neuronowych (ang. wavelet-chaos-neural network) cccccc A novel wavelet-chaos-neural network methodology is presented for classification of electroencephalograms (EEGs) into healthy, ictal, and interictal EEGs. Wavelet analysis is used to decompose the EEG into delta, theta, alpha, beta, and gamma sub-bands. Three parameters are employed for EEG representation: standard deviation (quantifying the signal variance), correlation dimension, and largest Lyapunov exponent (quantifying the non-linear chaotic dynamics of the signal). The classification accuracies of the following techniques are compared: 1) unsupervised-means clustering; 2) linear and quadratic discriminant analysis; 3) radial basis function neural network; 4) Levenberg-Marquardt backpropagation neural network (LMBPNN). To reduce the computing time and output analysis, the research was performed in two phases: band-specific analysis and mixed-band analysis. In phase two, over 500 different https://scholar.google.com/citations?user=TQMpoh8AAAAJ&hl=en... |
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