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金属矿山冲击地压是采矿工程中所涉及到的重大灾害之一。冲击地压的发生是由多方面因素造成的,具有动态和模糊性,在客观上属于一个复杂的非线性动力学过程,这使得冲击地压预测系统的数据处理不能按照常规的线性系统法进行处理。根据模糊神经网络理论,本文给出了多源信息融合的模糊人工神经网络(FANN)模型。通过具体工程应用,说明了本文分析模型的正确性和有效性。
Metal mining rockburst is one of the major disasters involved in mining engineering. The occurrence of rockburst is caused by many factors, with dynamic and ambiguity, which objectively belongs to a complex nonlinear dynamic process, which makes the data processing of rockburst prediction system can not be carried out according to the conventional linear system method deal with. According to the fuzzy neural network theory, this paper gives a fuzzy artificial neural network (FANN) model of multi-source information fusion. Through the specific engineering application, this paper illustrates the correctness and effectiveness of the analysis model.