A Hybrid Method for Random Pattern Sequence Classification |
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| Authors: | Zoraida C Martínez Daniel Barráez Carenne C Ludeñez |
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| Institution: | 1. Departamento de Cómputo Científico y Estadística , Universidad Simón Bolívar , Miranda, Venezuela zmartinez@usb.ve;3. Escuela de Matemáticas, Facultad de Ciencias , Universidad Central de Venezuela , Caracas, Venezuela;4. Instituto Venezolano de Investigaciones Científicas , Miranda, Venezuela |
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| Abstract: | We present a hybrid method for random pattern sequence classification that takes into account the random structural properties of the sequence. The method works in two steps. A segmentation step, dividing the original sequence into segments, such that all observations in a same segment belong to a unique class, and a classification step, where each segment is classified by a neural network classifier. |
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| Keywords: | Classification problem Neural networks Pattern classification Simulated annealing Segmentation |
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