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将影响新型燃料的机械强度和贮存性能的主要因素作为输入变量,利ANN 建立质量预测模型,并将随机产生的大量工艺条件输入训练好的ANN,通过对符合质量要求的输出结果所对应的输入变量统计获得优化的稳定操作区域,本优化方法有效的提高了产品质量的稳定性
Taking the main factors that affect the mechanical strength and storage performance of new fuels as input variables, ANN establishes a quality prediction model and inputs a large number of randomly generated process conditions into the trained ANN. The input corresponding to the output that meets the quality requirements is input Variable statistics to obtain an optimized stable operation area, the optimization method effectively improves the stability of product quality