期刊
OPTOELECTRONICS INSTRUMENTATION AND DATA PROCESSING
卷 50, 期 4, 页码 395-401出版社
SPRINGER
DOI: 10.3103/S8756699014040116
关键词
computer simulation; forest fire; recurrent neural network; data assimilation; learning; Kalman filter
A software system is presented for implementation of a fire model on the basis of a recurrent neural network, which ensures real-time simulation of fire evolution. The quality of traditional learning and learning based on the Kalman filter in experiments performed with the neural network is compared. It is demonstrated that the fire overcomes obstacles in the form of regions consisting of incombustible
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