A Study on Prediction of Equipment Asset Life Cycle Cost Based on BP Neural Network

Abstract

Equipment asset has a great value and use value, the management for it should be focused on the important consideration of the life cycle cost, making the disturbance of equipment asset value always permeates the overall process of equipment asset management, so as to provide scientific and reasonable baseline for decision-making related to equipment asset management. Using the methods of BP neural network, in this paper I provide a new angle of analysis for the equipment asset life cycle cost prediction through function approximation, making the prediction more operational.