Very fast rate 2-input fuzzy processor for high energy physics
References (20)
Fragmentation studies of Pb ions using CR39 nuclear track detectors
Nucl. Phys. A
(2000)Feature selection using expected attainable discrimination
Pattern Recognition Lett.
(1998)- ALICE collaboration, Technical Design Report ALICE Muon Spectrometer, CERN/LHCC 99-22, ALICE TDR 5,...
- A. Barriga, et al., A design methodology for application specific fuzzy integrated circuits, Proc. 5th IEEE Internat....
Mixed-signal design of a fully parallel fuzzy processor
Electron. Lett.
(1998)- O. Cordon, et al., Selecting fuzzy-rule-based classification systems with specific reasoning methods using genetic...
A two-input, one-output bit-scalable architecture for fuzzy processors
IEEE Design Test Comput.
(2001)- D. Falchieri, et al., Applications to high energy physics experiments of a fast rate 2-input fuzzy processor, Internat....
- A. Gabrielli, et al., VLSI fuzzy chip design for fast processing, Neural Network World, International on Neural and...
- A. Gabrielli, et al., Very fast VLSI fuzzy processor: 2 Inputs 1 Output, EMACS European Microelectronics Application...
There are more references available in the full text version of this article.
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