A parallel rule-extracting algorithm based on the improved discernibility matrix [2] is proposed, by this way, a large amount of raw data can be divided into some small portions to...
– This paper proposes a knowledge-based neurocomputing approach to extract and refine a set of linguistic rules from data. A neural network is designed along with its learning al...
Abstract. This text motivates and de nes a generic model for interactive online or o ine product catalogs. Based on a detailed requirements analysis, the data model is de ned usi...
In this paper, the use of fuzzy models relating rainfall to catchment discharge is investigated for the Zwalm catchment in Belgium. The models are built along the lines of Gawedaâ...
Aim of this paper is to address the problem of learning Boolean functions from training data with missing values. We present an extension of the BRAIN algorithm, called U-BRAIN (U...