An Efficient Deep Neural Network Binary Classifier for Alzheimer’s Disease Classification

2021 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)(2021)

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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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