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  4. Vol 7, Issue 1, 2023

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: 543

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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[4] Bai Tingting Research on reservoir identification and reservoir parameter prediction based on MPSO-BP Neural Systems Network [D]. Northeast Petroleum University, 2022. DOI: 10.26995/d.cnki.gdqsc.2022.00000 6
[5] Lv Dong, Liu Genyou, Ou Jikun, Wang Shengliang, Gao Ming. Prediction of GPS Satellite Clock Offset Based on an Improved Particle Swarm Algorithm Optimized BP Neural Network [J]. Remote Sensing, 2022, 14(10).
[6] Zhang Xiaochen, Chen Xuejun, Song Yu, Ma Peixin. Application of particle swarm optimization BP neural network in slope stability [J]. Mining Research and Development, 2022, 42 (01): 71-76. DOI: 10.13827/j.cnki.kyyk.2022.01.024
[7] Liu Bowei Personal credit evaluation model based on improved PSO-BP Neural Systems Network [D]. Inner Mongolia University, 2021. DOI: 10.27224/d.cnki.gnmdu.2021.001870

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