Neurofuzzy interpolation. II. Reducing complexity of description
M. Regattieri, Fernando José Von Zuben, A.F. Rocha · 2002
A neuro-fuzzy method of information compression is described. A neural-like structure is developed to operate on a set of sequential data in order to extract the minimal amount of data that can still accurately represent the entire original set. Fuzzy interpolation is used to regenerate the whole original set of data whenever necessary.>