A hybrid binary grey wolf optimizer for selection and reduction of reference points with extreme learning machine approach on local GNSS/leveling geoid determination.
Kemal TütüncüMehmet Akif SahmanEkrem TusatPublished in: Appl. Soft Comput. (2021)
Keyphrases
- reference points
- extreme learning machine
- reference point
- feed forward neural networks
- support vector regression
- feedforward neural networks
- neural network
- variable selection
- gaussian processes
- single layer
- hidden nodes
- position and orientation
- fingerprint images
- activation function
- computational complexity
- reinforcement learning
- multiscale
- high quality
- image sequences
- real time