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This paper proposes a novel GA-SVM integrated system for stock trend prediction based on wavelet-based feature extractions on multiple scales. The parameters of support vector machine (SVM) and kernel function are optimized by Genetic Algorithm (GA). Wavelet transformation is used to form the wavelet-scaling features. The Shanghai Stock Exchange (SSE) Composite index is selected for this study. Sufficient...
Laser gyroscope as a kind of photoelectric sensor, the static drift output data generally validate to be a non-stationary time series, and traditional Time Series Identification lacks dependable modeling precision. Analyzed the advantages of RBF Neural Network and SVM (Support Vector Machine), combined Wavelet Transform with ANN and SVM, studied the identification methods of WT-RBF (Wavelet Transform...
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