Instance variant nearest neighbor using particle swarm optimization for function approximation

- An approach to the function approximation problem using IVNN is presented.
- IVNN to apply less neighbors for noisy data and more neighbors for non-noisy data.
- IVNN solved by a PSO such that the prediction performance is maximized.
- IVNN requires no model/distribution assumption for variant numbers of neighbors.
- The prediction performance compared to conventional algorithms.