High-rise building fire pre-warning model based on the support vector regression

Aiming at reducing the deficiency of the traditional fire pre-warning algorithms and the intelligent fire pre-warning algorithms such as artificial neural network, and then to improve the accuracy of fire pre-warning for high-rise buildings, a composite fire pre-warning controller is designed according to the characteristic (nonlinear, less historical data, many influence factors), also a high-rise building fire pre-warning model is set up based on the support vector regression(SVR).Then the wood fire standard history data is applied to make empirical analysis. The research results can provide a reliable decision support framework for high-rise building fire pre-warning.