Artificial neural networks exploiting point cloud data for fragmented solid objects classification.
Alessandro BaiocchiStefano GiaguChristian NapoliM. SerraPietro NardelliM. VallerianiPublished in: Mach. Learn. Sci. Technol. (2023)
Keyphrases
- artificial neural networks
- decision trees
- support vector
- pattern recognition
- image classification
- computational intelligence
- classification accuracy
- feature selection
- three dimensional
- feature values
- genetic algorithm
- text classification
- support vector machine svm
- genetic algorithm ga
- support vector machine
- pattern classification
- classification scheme
- multi layer perceptron
- receiver operating characteristic curves
- machine learning
- point cloud data
- feature set
- d objects
- feature vectors
- feature space
- computer vision
- model selection
- training samples
- benchmark datasets
- back propagation
- classification rules
- multiple objects
- automatic classification
- moving objects
- training set
- object recognition