From: Cognitive radio for vehicular ad hoc networks (CR-VANETs): approaches and challenges
Machine learning tools | Application |
---|---|
Case based reasoning | Faster convergence from exploiting previous |
 | solutions for example when traveling through |
 | same area on same day of the week |
Support vector machine | Signal classification and identifying |
and neural networks | spectrum holes, channel prediction |
Reinforcement learning | Channel selection, real-time learning, can |
 | be used in unknown environments |
Genetic algorithms and | Optimization of transceiver |
simulated annealing | parameters |