An Efficient Deep Neural Network Binary Classifier for Alzheimer’s Disease Classification
2021 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)(2021)
摘要
In recent research, deep neural networks have better classification results in the medical research fields. In this paper, a deep neural network with fully connected layers is designed to perform binary classification. Three different types of activation functions are used for the hidden layers. After performing k-folds validation with different activation function combinations, a model with the b...
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关键词
Machine learning algorithms,Neural networks,Feature extraction,Data models,Alzheimer's disease,Artificial intelligence,Diseases
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