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Intelligent Diagnosis Model of Alzheimer's Disease Based on PSO Algorithm Optimized BP Neural Network

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DOI: 10.23977/acss.2023.070113 | Downloads: 20 | Views: 513

Author(s)

Shixing Han 1, Shutong Liang 1, Chao Liu 1, Bin Hong 1, Shixuan Han 2

Affiliation(s)

1 College of Engineering, Tibet University, Lhasa, 850000, China
2 Leicester International College, Dalian University of Technology, Panjin, Liaoning, 124221, China

Corresponding Author

Chao Liu

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.

KEYWORDS

Alzheimer's disease, PSO algorithm, BP neural network, Intelligent diagnosis

CITE THIS PAPER

Shixing Han, Shutong Liang, Chao Liu, Bin Hong, Shixuan Han. Intelligent Diagnosis Model of Alzheimer's Disease Based on PSO Algorithm Optimized BP Neural Network . Advances in Computer, Signals and Systems (2023) Vol. 7: 101-107. DOI: http://dx.doi.org/10.23977/acss.2023.070113.

REFERENCES

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