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Genetic Algorithms and Support Vector Machines for Time Series Classification
2002
Applications and Science of Neural Networks, Fuzzy Systems, and Evolutionary Computation V
We introduce an algorithm for classifying time series data. Since our initial application is for lightning data, we call the algorithm Zeus. Zeus is a hybrid algorithm that employs evolutionary computation for feature extraction, and a support vector machine for the final "backend" classification. Support vector machines have a reputation for classifying in high-dimensional spaces without overfitting, so the utility of reducing dimensionality with an intermediate feature selection step has been
doi:10.1117/12.453526
fatcat:lcgj4ufpz5bsnb2kzunjwk4g7m