An electric power defect level identification method based on deep semantic matching
A technology of semantic matching and defect level, applied in the field of level recognition, can solve problems such as inability to consider deep context semantics, lack of interpretability, poor generalization ability, etc., achieve high-precision power defect level identification, and realize power defect level Recognize and improve the effect of grade recognition rate
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[0037] The technical solution of the present invention will be further described in detail below in conjunction with the accompanying drawings of the description.
[0038] Such as figure 1 As shown, the power defect level recognition method based on deep semantic matching includes the following steps:
[0039] 1) Construct a deep structural semantic model, and use a deep neural network to divide sentences into five layers from bottom to top, including input layer, presentation layer, matching layer, sorting layer and output layer;
[0040] 2) Preprocess the text based on the word hashing and word segmentation model, and construct the input layer. The input layer is the defective text to be classified, and N training set texts. The larger the value of N, the better. Map the sentence into a vector space and Input into DNN; since the power defect text is mixed with Chinese, English letters, and numbers, the processing of these three characters is quite different:
[0041] For E...
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