Combining the advantages of AlexNet convolutional deep neural network optimized with anopheles search algorithm based feature extraction and random forest classifier for COVID-19 classification.
Sumaiya Begum AkbarKalaiselvi ThanupillaiSundararaj SuganthiPublished in: Concurr. Comput. Pract. Exp. (2022)
Keyphrases
- feature extraction
- neural network
- search algorithm
- pattern recognition
- image classification
- pattern classification
- preprocessing
- learning vector quantization
- feature vectors
- feature extraction and classification
- feature selection
- feature space
- support vector machine svm
- text classification
- deep learning
- dimension reduction
- classification accuracy
- support vector machine
- feature representation
- search space
- feature set
- extracted features
- network architecture
- image features
- training set
- probabilistic neural network
- self organizing maps
- classification algorithm
- genetic algorithm
- grey level co occurrence matrix
- multi layer perceptron
- principal component analysis
- image feature extraction
- classification models
- texture analysis
- classification method
- class labels
- supervised learning
- fuzzy logic
- wavelet transform
- artificial neural networks
- face recognition
- decision trees
- image processing
- machine learning