A BP Neural Network Used Sailboat Price Prediction Model Based on Depreciation Formula Optimization
DOI:
https://doi.org/10.54097/hbem.v20i.14685Keywords:
Used Sailboat, Depreciation Formula, BP Neural Network.Abstract
In the used sailboat market, accurate estimation of sailboat price is of great significance for both sellers and buyers. Based on the study of the weights of the factors affecting the price of used sailboats using the random forest algorithm, this paper aims to propose a BP neural network method based on the optimization of the depreciation formula for the price estimation of used sailboats. It solves the problem that the traditional multi-input, non-linear model cannot effectively predict the price of used sailboats for future years. The model accuracy can reach 0.758 for monohull sailboats and 0.904 for catamaran sailboats.
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