ABSTRACT
This chapter focuses on the problem of real-time earthquake prediction. It discusses real-time and intermediate-time earthquake prognoses. The chapter explains the two basic algorithms for prognoses of intermediate-term and short-term prognoses. Real-time prognoses algorithm for prognoses of destructive phase of strong motion seismic waves is suggested the algorithm is realized with the help of stochastic models and neural network, build on the principle of learning vector quantization. A very promising method in earthquake engineering for protection of height-risk and very important structures against destructive influence of seismic waves is anti-seismic structural control. An earthquake prediction must specify the expected magnitude range, the geographical area within which it will occur, and the time interval within which it will happen with sufficient precision so that the ultimate success or failure of the prediction can readily be judged. In real time are generating the statistical function of density distribution of recorded data from accelerogram.
