Title :
Stage determination of oral cancer using neurofuzzy inference system
Author :
Pandey, Abhishek ; Gupta, Neeraj Kumar
Author_Institution :
Krishna Inst. of Eng. & Technol., Ghaziabad, India
Abstract :
In this paper an intelligent technique for the determination of the oral cancer stages is proposed. Fuzzy If-then rules have been defined which governs the decision of the proposed system and then trained by neural network. The system is then simulated on adaptive neurofuzzy system toolbox and results have been generated. The final results show a training error equal to 0.219, which is very close to the tolerance level.
Keywords :
adaptive systems; cancer; fuzzy logic; medical diagnostic computing; neural nets; tumours; adaptive neurofuzzy system toolbox; fuzzy if-then rules; intelligent technique; neural network; neurofuzzy inference system; oral cancer stage determination; tolerance level; training error; Adaptive systems; Cancer; Fuzzy logic; Lesions; Testing; Training; Neural networks; fuzzy logic; malignant tumor; neurofuzzy system; oral cancer;
Conference_Titel :
Electrical, Electronics and Computer Science (SCEECS), 2014 IEEE Students' Conference on
Conference_Location :
Bhopal
Print_ISBN :
978-1-4799-2525-4
DOI :
10.1109/SCEECS.2014.6804517
