The nonlinearity and distribution of information processing of the artificial neural network are utilized in the indentification of model of coal spontaneous combustion stove at low temperature.
将人工神经网络的非线性特性和信息的分布性用于煤低温自燃实验炉的模型辩识。
As the utility model adopts the structure of tubular stove wall (1) in which a stove chamber (2) is arranged, and the utility model can be used for coal firing.
本实用新型由于采用了筒形的炉壁(1)，炉壁(1)内有炉腔(2)的结构，所以能用于烧煤。
The utility model discloses a chimney of a warming coal stove.
本实用新型公开了一种取暖煤炉的烟筒。
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