Comparing Support Vector Machines and Artificial Neural Networks in the Recognition Of Steering Angle for Driving of Mobile Robots Through Paths in Plantations.
Danilo S. JodasNorian MarranghelloAledir Silveira PereiraRodrigo Capobianco GuidoPublished in: ICCS (2013)
Keyphrases
- artificial neural networks
- mobile robot
- support vector
- learning machines
- large margin classifiers
- recognition accuracy
- neural network
- path planning
- object recognition
- radial basis function
- back propagation
- recognition rate
- feature extraction
- pattern recognition
- kernel function
- support vector machine
- indoor environments
- using artificial neural networks
- cross validation
- action recognition
- computational intelligence
- shortest path
- recognition algorithm
- recognition process
- dynamic environments
- automatic recognition
- autonomous robots
- feed forward neural networks
- obstacle avoidance
- unknown environments
- motion planning
- character recognition
- motion control
- classification accuracy
- model selection
- path finding
- robot control
- face recognition
- multi layer perceptron
- generalization ability
- hyperplane
- robotic systems
- kernel methods