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This book proposes a quantitative shaking evaluation for seismic-resistant buildings. In modern seismic-resistant building design codes, a building structure subjected to a strong earthquake can experience considerably large deformations without collapsing. This book features useful guidance to calculate the shaking quantity scale in detail. It also demonstrates the application of Artificial Intelligence (namely the Deep Neural Network) to predict the shaking quantity scale, which is highly important for early warning system applications for earthquakes.