The invention relates to the technical field of cigarette
processing, in particular to a cigarette making
machine comprehensive quality evaluation method based on a graph neural network, which comprises the following steps: dividing pre-processed related data into evaluation
layers of different indexes based on
hierarchical analysis decision, and finding out factors of different levels from the evaluation
layers of different indexes; finding out relevance between different level factors and different index evaluation
layers from different index evaluation layers based on gray
correlation analysis; on the basis of an entropy evaluation method weight solving method, finding out the weights of the
correlation factors corresponding to the different index evaluation layers in the corresponding index evaluation layers from the different index evaluation layers and the factors of the different levels; and based on different index evaluation layers, a
correlation analysis layer, a
weight analysis layer and the defined graph convolutional
network layer, combining an attention mechanism, normalization operation and FC regression to construct an optimized cigarette making
machine comprehensive quality evaluation graph neural network.