由于备件分类规则的逻辑依据很模糊，并且影响备件ABC分类的因素有很多，

Because the logical basis of the spare parts classification rules is very vague, and there are many factors that affect the ABC classification of spare parts, the traditional ABC classification method of spare parts cannot meet the needs of scientific management of spare parts inventory. Therefore, in order to scientifically classify spare parts, we must consider many factors that affect the ABC classification of spare parts, and apply fuzzy theory to the spare parts classification rules to make the spare parts classification more logical. Because fuzzy neural network is not only good at investigating the influence of various influencing factors on spare parts classification, but also fuzzy logic is more in line with the reality of spare parts classification, so fuzzy neural network can solve these problems well. Therefore, in view of the shortcomings of the traditional ABC classification method in spare parts classification, this paper proposes an ABC classification model of spare parts based on BP fuzzy neural network. <br>Since the above analysis of the main influencing factors affecting the ABC classification of spare parts has been made separately, the basis for the fuzzification of the following fuzzy neural network model input is laid

Because the logic of spare parts classification rules is very vague, and there are many factors affecting the classification of spare parts ABC, the traditional spare parts ABC classification method can not meet the needs of the scientific management of spare parts inventory. Therefore, in order to carry out the scientific classification of spare parts, we must consider many factors that affect the classification of spare parts ABC, and apply the fuzzy theory to the rules of spare parts classification, so that the classification of spare parts more logical rules. Because fuzzy neural network is not only good at examining the influence of various influencing factors on spare parts classification, but also fuzzy logic is more in line with the actual classification of spare parts, so fuzzy neural network can solve these problems well. Therefore, in view of the shortcomings of the traditional ABC classification in spare parts classification, this paper presents the spare parts CLASSIFICATION model based on BP fuzzy neural network.<br>Because of the above-based analysis of the main influencing factors affecting the ABC classification of spare parts, the basis is laid for the fuzzy neural network model input below.

Because the logic basis of spare parts classification rules is very fuzzy, and there are many factors affecting the ABC classification of spare parts, the traditional ABC classification method of spare parts can not meet the needs of scientific management of spare parts inventory. Therefore, in order to make a scientific classification of spare parts, we must consider many factors that affect the ABC classification of spare parts, and apply fuzzy theory to the classification rules of spare parts to make the classification of spare parts more in line with the logical rules. Because the fuzzy neural network is not only good at investigating the influence of various factors on spare parts classification, but also fuzzy logic is more in line with the reality of spare parts classification, so fuzzy neural network can solve these problems well. Therefore, in view of the shortcomings of the traditional ABC classification method in spare parts classification, this paper proposes a spare parts ABC classification model based on BP fuzzy neural network.<br>The membership degree analysis of the main factors affecting ABC classification of spare parts is made above, which lays a foundation for the fuzziness of input of fuzzy neural network model<br>