Fast Classification Networks For Signal Processing |
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Authors: | Kun Won Tang Subhash Kak |
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Affiliation: | General Microsystems, 47610 UEP Subang Jaya, Selangor, Malaysia, MA Department of Electrical and Computer Engineering, Louisiana State University, Baton Rouge, Louisiana 70803-5901, US, US
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Abstract: | We present a generalization of the corner classification approach to training feedforward neural networks that allows rapid learning of nonbinary data. These generalized networks, called fast classification (FC) networks, are compared against backpropagation and radial basis function networks and are shown to have excellent performance for prediction of time series and pattern recognition. FC networks do not require iterative training and they can be used in many signal processing applications where fast, nonlinear filtering provides an advantage. |
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