Use of support vector machines, neural networks and genetic algorithms to characterize rubber blends by means of the classification of the carbon black particles used as reinforcing agent.
Roberto Fernández-MartínezPello JimbertJulen IbarretxeMaider IturrondobeitiaPublished in: Soft Comput. (2019)
Keyphrases
- support vector
- classification accuracy
- neural networks and genetic algorithms
- large margin classifiers
- feature selection
- support vector machine
- intelligent agents
- text classification
- machine learning
- multi agent
- multi agent systems
- decision trees
- neural network
- autonomous agents
- feature space
- artificial intelligence
- model selection
- dynamic environments
- kernel function
- kernel methods
- agent technology
- decision making
- real time