Research on Radial Basis Function Neural Network Based on Improved Hierarchical Genetic Algorithm in Early Diagnosis of Alzheimer’s Disease
With the increasing aging level of China’s population, the probability of suffering from Alzheimer’s disease also increases. Genetic Algorithm-Back-Propagation (GA-BP) were introduced and compared, and the effectiveness of Genetic Algorithm-Radial Basis Function (GA-RBF)
algorithm in diagnosis and prediction of Alzheimer’s disease was verified by simulation experiments. The results showed that GA-RBF modeling time increased by about 75%, It showed that GA-RBF algorithm can be used helpful to accurately predict the cognitive status of the elderly.
Keywords: Alzheimer’s Disease; Early Diagnosis; Hierarchical Genetic Algorithm; Neural Network
Document Type: Research Article
Affiliations: 1: Department of Geriatrics, Nanjing Drum Tower Hospital, Nanjing, 210000, China 2: Department of Pathology, University Miami, Coral Gables, 33124, USA
Publication date: 01 August 2020
- Journal of Medical Imaging and Health Informatics (JMIHI) is a medium to disseminate novel experimental and theoretical research results in the field of biomedicine, biology, clinical, rehabilitation engineering, medical image processing, bio-computing, D2H2, and other health related areas.
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