BP neural network-based medium and large stamping die quotation prediction method

Abstract

The invention relates to the technical field of cost prediction, in particular to a BP neural network-based medium and large stamping die quotation prediction method. Artificial neural network technology and a cost prediction method of a die are integrated to perform quotation prediction on the medium-large stamping die. During preliminary prediction sub-item detailed cost in quotation cost of themedium-and-large-scale stamping die is accurately evaluated and partially and independently calculating the sub-item detailed cost; wherein mold testing and packaging transportation fees are directlygiven by quotation personnel. The cost in the machining process is estimated by referring to a large and medium-sized stamping die calculation method in a die pricing method reference manual 'compiled by the Chinese die industrial association and then an improved BP algorithm network model is applied to predict possible errors and a final quotation result is adjusted. Various complex nonlinear mappings can be effectively simulated, cost influence factors are comprehensively considered, errors possibly generated by system quotation are predicted, then a final result is adjusted, adjustment ofa large number of coefficients is avoided, and the problem that quotation accuracy is low is solved.

Description

technical field [0001] The invention relates to the technical field of cost forecasting, in particular to a BP neural network-based quotation forecasting method for medium and large stamping dies. Background technique [0002] Due to the single-batch and small-scale production of molds and the characteristics of different products, the cost prediction method of molds is also different from that of general products. In traditional mold production, most enterprises use the method of manual cost estimation based on experience, which often causes large deviations and unnecessary losses; and requires professionals to spend a lot of time on complicated calculations, resulting in the prediction method It cannot be popularized and the cycle is long. In recent years, more and more mold companies have turned their attention to the direction of computer-aided cost forecasting, and have successively developed a series of computer-aided mold cost forecasting systems and quotation system...

AI Technical Summary

Problems solved by technology

[0009] At present, the mold quotation in enterprises mainly has the problems of low accuracy and long quotation cycle, and computer-aided quotation has become an inevitable trend

The current research on stamping die cost forecasting system is mainly aimed at small and medium-sized products

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