Investigation of the Effect of Adding Random Noise to Noisy Biological Signals on the Classification of Neural Network.
Ryosuke ShimizuYoko UwateYoshifumi NishioPublished in: ISOCC (2022)
Keyphrases
- random noise
- low signal to noise ratio
- neural network
- learning vector quantization
- pattern recognition
- classification algorithm
- classification accuracy
- support vector machine
- machine learning
- pattern classification
- classification method
- support vector machine svm
- multi layer perceptron
- automatic classification
- image classification
- decision trees
- artificial neural networks
- feature extraction
- feature space
- support vector
- classification scheme
- training patterns
- signal processing
- genetic algorithm
- spectral analysis
- training data
- training process
- incremental learning
- training set
- self organizing maps
- back propagation
- feature vectors