The Lattice Computing (LC) Paradigm.

作者: Vassilis G. Kaburlasos

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参考文章(22)
Vassilis G. Kaburlasos, Athanasios Kehagias, Novel fuzzy inference system (FIS) analysis and design based on lattice theory. Part I: Working principles International Journal of General Systems. ,vol. 35, pp. 45- 67 ,(2006) , 10.1080/03081070500502710
Vassilis G. Kaburlasos, Ioannis N. Athanasiadis, Pericles A. Mitkas, Fuzzy lattice reasoning (FLR) classifier and its application for ambient ozone estimation International Journal of Approximate Reasoning. ,vol. 45, pp. 152- 188 ,(2007) , 10.1016/J.IJAR.2006.08.001
V.G. Kaburlasos, V. Petridis, P.N. Brett, D.A. Baker, Estimation of the stapes-bone thickness in the stapedotomy surgical procedure using a machine-learning technique international conference of the ieee engineering in medicine and biology society. ,vol. 3, pp. 268- 277 ,(1999) , 10.1109/4233.809171
B Ganter, R Wille, Formal Concept Analysis Electronic Notes in Discrete Mathematics. ,vol. 2, pp. 199- 200 ,(1999) , 10.1016/S1571-0653(04)00049-6
Yi Liu, Vassilis Kaburlasos, Anestis Hatzimichailidis, Yang Xu, Toward a Synergy of a Lattice Implication Algebra with Fuzzy Lattice Reasoning - A Lattice Computing Approach Science Gate Publishing P.C.. pp. 23- 42 ,(2016) , 10.15579/GCSR.VOL6.CH2
Dimitrios Serpanos, The Cyber-Physical Systems Revolution Computer. ,vol. 51, pp. 70- 73 ,(2018) , 10.1109/MC.2018.1731058
V. G. Kaburlasos, , L. Moussiades, , Induction of formal concepts by lattice computing techniques for tunable classification Journal of Engineering Science and Technology Review. ,vol. 7, pp. 1- 8 ,(2014) , 10.25103/IJBESAR.071.01
Peter Sussner, Israel Campiotti, Extreme learning machine for a new hybrid morphological/linear perceptron. Neural Networks. ,vol. 123, pp. 288- 298 ,(2020) , 10.1016/J.NEUNET.2019.12.003