Waste mobile phone pricing method based on value preserving rate and discrete neural network
A neural network and BP neural network technology, applied in the field of electronic product recycling, can solve the problems of unstable prediction results and difficult convergence of price prediction models, and achieve the effects of stable training, parameter saving and accurate prediction results.
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[0048] Below in conjunction with accompanying drawing and specific embodiment, the present invention is further described:
[0049] The present invention adopts following technical scheme and implementation steps:
[0050] (1) Calculation of preservation rate
[0051] Generally, new mobile phones are sold at their official selling prices. As time goes by, they will wear out and their prices will continue to decrease. The ratio of recycling prices to new phone prices changes over time. The value preservation rate of machine price is defined as follows:
[0052]
[0053] Among them, s is the preservation rate, v is the new machine price, and p is the recycling price. Because the recycling price is always lower than the price of the new machine, the value range of the preservation rate s is [0,1]. At the same time, according to the preservation rate s and the new machine price v, the recovery price can be calculated as:
[0054] p=vs (2)
[0055] (2) Feature extraction of...
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