Device and method for generating a classifier for automatically sorting objects

Method for generating a classifier for automatically sorting objects, which are respectively characterized by electronic attributes, in particular a classifier for automatically sorting manufactured products into up-to-standard products and defective products, the method having the following steps:

• transmitting a set of electronic training data, which comprises a respective electronic attribute set for training objects, from a storage device to a processor device, dimension (d) being determined by the number of attributes in the respective electronic attribute set;
• processing the electronic training data in the processor device, a function space (V) defined over Rd being electronically discretized into subspaces (VN, N=2, 3, . . .) with the aid of discretization means with the use of a sparse grid technique;
• forming the classifier as a function of the processing of the electronic training data in the processor device;
• and
• electronically storing the classifier formed.

Device for online sorting of objects which are characterized by respective electronic attributes, in particular of manufactured products into up-to-standard products and defective products with the aid of an electronic classifier generated using the sparse grid technique, the device having:

• Reception means for receiving characteristic features of the objects to be sorted in the form of electronic attributes;
• and
• A processor device with:
• Analysing means for online analysis of the electronic attributes with the aid of the classifier;
• and
• Assignment means for electronically assigning the objects to be sorted to one of a plurality of sorting classes as a function of the automatic online analysis.

Method for online sorting of objects which are characterized by respective electronic attributes, in particular manufactured products into up-to-standard products and defective products by means of an electronic classifier generated using the sparse grid technique, the method having the following steps:

• Online detection of characteristic features, that are the form of electronic attributes, of the objects to be sorted;
• Automatic online analysis of the electronic attributes using the classifier with the aid of a processor device;
• and
• Assignment of the objects to be sorted to one of a plurality of sorting classes as a function of the automatic online analysis.

Method for data mining by generating a classifier for automatically sorting objects, which are respectively characterized by electronic attributes, in particular a classifier for automatically sorting manufactured products into up-to-standard products and defective products, the method having the following steps:

• transmitting a set of electronic training data, which comprises a respective electronic attribute set for training objects, from a storage device to a processor device, dimension (d) being determined by the number of attributes in the respective electronic attribute set;
• processing the electronic training data in the processor device, a function space (V) defined over Rd being electronically discretized into subspaces (VN,N=2, 3, . . .) with the aid of discretization means with the use of a sparse grid technique;
• forming the classifier as a function of the processing of the electronic training data in the processor device;
• and
• electronically storing the classifier formed.