DocumentCode
1738099
Title
Knowledge discovery with B-spline networks
Author
Renners, Ingo ; Ludwig, Lars A. ; Grauel, Adolf
Author_Institution
Dept. of Math., Paderborn Univ., Germany
Volume
1
fYear
2000
fDate
2000
Firstpage
150
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/KES.2000.885780
Filename
885780
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