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- W4324122573 abstract "In this paper, an intelligent diagnosis model of Alzheimer's disease is established based on the PSO algorithm optimized BP neural network. After descriptive analysis and normalization of patient-specific information characteristic data, the model was established by parameter selection of BP neural network, optimization of BP neural network by PSO algorithm and sensitivity analysis of neural network connection weights, and the intelligent diagnostic model of Alzheimer's disease was tested. The results showed that the model has strong applicability in terms of the degree of Alzheimer's disease in patients, and provides a certain reference basis for accurate diagnosis of the developmental stage of Alzheimer's disease." @default.
- W4324122573 created "2023-03-15" @default.
- W4324122573 date "2023-01-01" @default.
- W4324122573 modified "2023-10-18" @default.
- W4324122573 title "Intelligent Diagnosis Model of Alzheimer's Disease Based on PSO Algorithm Optimized BP Neural Network" @default.
- W4324122573 doi "https://doi.org/10.23977/acss.2023.070113" @default.
- W4324122573 hasPublicationYear "2023" @default.
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