User experience quality confirmation method and system
A quality of experience, user technology, applied in the field of computer networks, can solve problems such as difficulty in obtaining, influence of user cooperation, user interference, etc.
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[0121] Step 1. Define the structure of the neural network computing model, such as figure 2 Shown:
[0122] The neural network computing model can be divided into three layers: input layer, hidden layer and output layer.
[0123] Among them, the input layer includes eight variables: previous user experience quality x 1 , business experience x 2 , own background x 3 , physical and mental state x 4 , expect x 5 , network status x 6 , service quality x 7 and terminal mass x 8 . Among them, the hidden layer also includes a denoising module, which is used to evaluate the previous user experience quality x 1 , business experience x 2 , own background x 3 , physical and mental state x 4 , expect x 5 Bad data etc. are removed.
[0124] The input layer includes a data feedback switch, which is used to control whether the QoE calculated last time is used as the previous user quality of experience x 1 Enter this calculation process.
[0125] The hidden layer can include ...
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