Abstract
According to the automatic fire extinguishing equipment requirements for explosion suppression platform system, this paper using the flexible neural tree and the clonal selection principle, describes the creation method of flexible neural tree model, embedded virtual instrument technology, to solve the nonlinear system fault diagnosis problem, realize the fire (explosion) detection system control components, improves the diagnostic sensitivity and accuracy. After the trial, the equipment illustrates high integrity, good versatility and high stability.
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