Applying Simple Combining Techniques with Artificial Neural Networks to Some Standard Time Series Classification Problems
نویسندگان
چکیده
In this work we use connectionist techniques to solve some problems of pattern classification involving time series. We build our classifiers using two different artificial neural networks paradigms: the self organizing maps and the multilayer perceptrons. We compare the results achieved using the single classifier and an ensemble of classifiers. The conclusions are quite hopeful, achieving results with a similar or better accuracy compared with those of previous works.
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