Abstract
In this paper we develop a neuro-fuzzy system for stroke diagnosis. A novel concept of weights describing importance of antecedents and rules will be incorporated into construction of such systems. Simulation results based on 298 real stroke data will be presented. © 2008 Springer-Verlag Berlin Heidelberg.
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CITATION STYLE
APA
Cpałka, K., Rebrova, O., Gałkowski, T., & Rutkowski, L. (2008). On differential stroke diagnosis by neuro-fuzzy structures. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5097 LNAI, pp. 974–980). https://doi.org/10.1007/978-3-540-69731-2_92
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