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- W2368537259 abstract "The traditional BP neural network has slow convergence speed and is easily to fall into local optimum which will affect the accuracy of the diagnosis of breast cancer.In order to enhance the correctness of breast cancer diagnosis,a breast cancer diagnosis model is put forward based on an improved BP neural network.First,this model used additional momentum to adjust the BP neural network weights and speed up the network convergence speed;then the adaptive rate was dynamically adjusted to enhance the network learning speed and reduce the iteration;finally,using the improved BP neural network to diagnosis the breast cancer.Compared with the traditional BP algorithm,experimental results show that the improved BP neural network not only reduces the learning and fasten the learning speed,but also improves the breast cancer diagnosis accuracy.This method can effectively overcome traditional BP algorithm defects." @default.
- W2368537259 created "2016-06-24" @default.
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- W2368537259 date "2011-01-01" @default.
- W2368537259 modified "2023-09-27" @default.
- W2368537259 title "Study on Breast Cancer Diagnosis Based on Artificial Neural Network" @default.
- W2368537259 hasPublicationYear "2011" @default.
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