Title :
Knowledge discovery with B-spline networks
Author :
Renners, Ingo ; Ludwig, Lars A. ; Grauel, Adolf
Author_Institution :
Dept. of Math., Paderborn Univ., Germany
Abstract :
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
Keywords :
biochemistry; biology computing; chemistry computing; data mining; fuzzy neural nets; genetic algorithms; pattern classification; splines (mathematics); classification system; database analysis; genetically optimized B-spline networks; information technology; knowledge discovery; neuro-fuzzy systems; toxicity prediction; Data analysis; Databases; Equations; Fuzzy neural networks; Information analysis; Information technology; Linearity; Mathematics; Microscopy; Spline;
Conference_Titel :
Knowledge-Based Intelligent Engineering Systems and Allied Technologies, 2000. Proceedings. Fourth International Conference on
Conference_Location :
Brighton
Print_ISBN :
0-7803-6400-7
DOI :
10.1109/KES.2000.885780
