Franz J. Kurfess

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As the second part of a special issue on " Neural Networks and Structured Knowledge, " the contributions collected here concentrate on the extraction of knowledge, particularly in the form of rules, from neural networks, and on applications relying on the representation and processing of structured knowledge by neural networks. The transformation of the(More)
The memory capacities for auto-and hetero-associative incompletely connected memories are calculated. First, the capacity is computed for xed parameters of the system. Optimization yields a maximum capacity between 0.53 and 0.69 for hetero-association and half of it for auto-association, improving previous results. The maximum capacity requires sparse input(More)
This collection of articles is the first of two parts of a special issue on " Neural Networks and Structured Knowledge. " The contributions to the first part shed some light on the issues of knowledge representation and reasoning with neural networks. Their scope ranges from formal models for mapping discrete structures like graphs or logical formulae onto(More)
As more and more knowledge and information becomes available through computers, a critical capability of systems supporting knowledge management is the classification of documents into categories that are meaningful to the user. In a step beyond the use of keywords, we developed a system that analyzes the sentences contained in unstructured or(More)