Abstract: An apparatus and method are disclosed for electronically extracting application specific multidimensional information from a library of electronically searchable documents, wherein at least one dimension of the information is a category, which may comprise an automatic document miner in communication with the contents of the library and adapted to electronically extract relevant documents from the library; an E-Space filter creator adapted to create from the extracted relevant documents a category specific representation of the extracted relevant documents comprising the E-Space filter; a document selector adapted to utilize the E-Space filter to separate the extracted relevant documents into member documents and non-member documents and to discard the non-member documents; and an application specific multidimensional information extractor adapted to extract occurrences of application specific multidimensional information from the member documents.

Abstract: The present invention provides an improved method and system for training an on-line fuzzy inference network to generate a rule base, and a rule base generated thereby. Tuning and applying a learning rule to the fuzzy rules generated by the fuzzy inference network in such as manner as to divorce the performance of the network from the number of input dimensions allows the present invention to adapt a fuzzy inference network such as a SONFIN to be effective for the classification of high-dimensional data in problems requiring the use of a high number of dimensions such as occupant recognition in vehicles, weather forecasting, and economic forecasting.