DocumentCode :
442164
Title :
New universal logic operation models and neurons on generalized interval
Author :
Chen, Zhi-Cheng ; He, Hua-Can ; Mao, Ming-Yi ; Yang, Wei-Kang
Author_Institution :
Res. Inst. of Inf. Technol., Tsinghua Univ., Beijing, China
Volume :
8
fYear :
2005
fDate :
18-21 Aug. 2005
Firstpage :
4789
Abstract :
We call any interval [a,b] generalized interval. In the before work, the operation models of universal logic and neurons were limited in interval [0,1]. Authors mainly studied the universal logic operation models and neurons based on generalized interval [a,b]. Using the NTS norms theories, this paper established the universal logic operation models on generalized interval [a,b]. And the paper gave a new uniform neuron model of several universal logic operators on generalized interval [a,b]. It made the reasoning of universal logic neuron more flexible. It proved that the operation models and neurons were sound. The work offered important theories and models for universal logic in correlation reasoning of neural systems. It is a new way for neuron reasoning from the points of generalized NTS norms and generalized interval.
Keywords :
fuzzy logic; inference mechanisms; neural nets; NTS norms theories; correlation reasoning; generalized interval; neural systems; neuron reasoning; universal logic operation models; Boundary conditions; Cybernetics; Fractals; Fuzzy logic; Helium; Information technology; Logic design; Machine learning; Mathematical model; Neurons; Generalized interval; Generalized neuron; Logic operator; Universal logic;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on
Conference_Location :
Guangzhou, China
Print_ISBN :
0-7803-9091-1
Type :
conf
DOI :
10.1109/ICMLC.2005.1527785
Filename :
1527785
Link To Document :
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