A shoe last size prediction method and prediction device based on deep learning
A technology of deep learning and prediction methods, applied in the measurement device of feet or shoe lasts, neural learning methods, footwear, etc., can solve problems such as high labor costs, inability to choose shoes, and high prices
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[0030] Such as figure 1 As shown, a kind of shoe last size prediction method based on deep learning provided by the present invention comprises the following steps:
[0031] S1. Collect tester's foot parameters and corresponding shoe last parameters;
[0032] S2. Clustering the foot parameters collected in (S1), removing obviously outlier noise data, and calculating the clustering center of each size;
[0033] S3. Using a recursive neural network to obtain and output a shoe last parameter prediction model;
[0034] S4, collecting consumer foot parameters;
[0035] S5. Input the foot parameters in (S4) into the shoe last parameter prediction model trained in (S3), to obtain shoe last size and shoe last parameters.
[0036] In the above S1 step, the tester’s foot parameters are collected, including foot length, foot plantar circumference G2, foot tarsal circumference G3, foot pocket heel circumference G4, foot width, palm width, inner width of the outline of the outer protrus...
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