IEEE

Evaluation of Information Security of Industrial Automation Systems Using Fuzzy Algorithms and Predicates

Abstract: The issues of using fuzzy algorithms and fuzzy predicates in the process of evaluating information security indicators of industrial automation systems are considered. This approach makes it ...
IEEE

Hardware-Software Co-Design Low-Complexity Fuzzy Algorithm for High-Dimensional Feature Space With In-Situ Learning

Abstract: The exploitation of fuzzy techniques in machine learning for modelling uncertainty is highly versatile and widespread. In addition to providing a suitable fuzzy algorithm, its hardware ...
Frontiers

Vehicle lateral tracking control optimization based on fuzzy preview time and ant lion algorithm

1 College of Electrical Engineering and New Energy, China Three Gorges University, Yichang, Hubei, China 2 College of Economics and Management, China Three Gorges University, Yichang, Hubei, China To ...
JSTOR Daily

Detection and Characterization of Cluster Substructure I. Linear Structure: Fuzzy c-Lines

SIAM Journal on Applied Mathematics, Vol. 40, No. 2 (Apr., 1981), pp. 339-357 (19 pages) In Part I, a generalization of the Fuzzy c-Means (or Fuzzy ISODATA) clustering algorithms is developed.
University of Waterloo

Using ensembles of adaptive neuro-fuzzy inference system and optimization algorithms to predict reference evapotranspiration in subtropical climatic zones

Using ensembles of adaptive neuro-fuzzy inference system and optimization algorithms to predict reference evapotranspiration in subtropical climatic zones Citation: Roy, D. , Barzegar, R. , Quilty, J.
Ars Technica

AI bests Air Force combat tactics experts in simulated dogfights

In the future, the US Air Force hopes to have armed drones flying in formation with human pilots, responding to their verbal and digital commands to fight the enemy and strike targets. That would ...