11-07-2023 дата публикации
Номер: CN116416604A
Принадлежит:
The invention is suitable for the technical field of pest recognition, and provides a crop pest recognition method and device and terminal equipment, and the method comprises the steps: obtaining a data set of crop pest picture samples, and dividing the data set into a training set and a test set according to a preset proportion; a kernel extreme learning machine KELM model and a capstan search algorithm CapSA model are constructed, the KELM model and the CapSA model are combined, a CapSA-KELM first model is constructed, the KELM model comprises a regularization coefficient C and a kernel function parameter sigma, and an optimal fitness value output by the CapSA model comprises an optimal regularization coefficient C and an optimal kernel function parameter sigma; the training set is adopted to train the first model, and a CapSA-KELM second model is generated; and testing the second model by using the test set to obtain the recognition accuracy of the second model, and evaluating the recognition ...
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