Abstract
The problem of forecasting in general and in real-time of the behavior of seismic wave is discussed. Seismic waves classification on the base of principle axis transformation and evolutionary power spectrum estimation is provided for it implementation in an intelligent hybrid model. A hybrid model for real-time forecasting of strong motion acceleration on the bases of general, tectonic, seismic and site parameters is developed, where neuro-fuzzy model is combined with long-range dependence time series analysis. Seismic control is realizing on the base of this forecasting. Suggested model helps for taking right decision for activating different devices and systems for passive, active or hybrid structural control for protection of high-risk structures like power plants, in particular nuclear power plants. The numerical simulation was made with different program packages like Fuzzy TECH 5.51, MatLab 6.5 and Simulink.
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