The error values of CMMs depends on the probing direction; hence its spatial variation is a key part of the probe inaccuracy. This paper presents genetically-generated fuzzy knowledge bases (FKBs) to model the spatial error characteristics of a CMM module-changing probe. Two automatically generated FKBs based on two optimization paradigms are used for the reconstruction of the direction- dependent probe error w. The angles beta and gamma are used as input variables of the FKBs; they describe the spatial direction of probe triggering. The learning algorithm used to generate the FKBs is a real/ binary like coded genetic algorithm developed by the authors. The influence of the optimization criteria on the precision of the genetically-generated FKBs is presented.
|Title of host publication||Annual Meeting of the North American Fuzzy Information Processing Society, 2008. NAFIPS 2008.|
|Publication status||Published - 2008|
|Event||Annual Meeting of the North American Fuzzy Information Processing Society, 2008. - New York City, NY|
Duration: 1 Jan 2008 → …
|Conference||Annual Meeting of the North American Fuzzy Information Processing Society, 2008.|
|City||New York City, NY|
|Period||01/01/2008 → …|