Knowledge discovery with B-spline networks

Due to modern information technology, it is of special interest to consider the analysis of databases in the direction of knowledge discovery. In this paper, we investigate and propose knowledge discovery in the framework of B-spline networks, which are a type of neuro-fuzzy systems. We present an application for knowledge exploration in toxicity prediction by using genetically optimized B-spline networks. A B-spline network can be seen as a classification system which can be applied to knowledge discovery.