A rule-based development of incremental models
Developed is a concept of incremental models with fuzzy rules. Rules capture the structure of error and realize its compensation. Fuzzy clustering is used as a generic method to structure errors of the generic model. A series of experimental studies is reported demonstrating the performance of the proposed approach.
incremental model rule-based structures augmented clustering linear models