2018
DOI: 10.14569/ijacsa.2018.090208
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Detection of Climate Crashes using Fuzzy Neural Networks

Abstract: Abstract-In this paper the detection of the climate crashes or failure that are associated with the use of climate models based on parameters induced from the climate simulation is considered. Detection and analysis of the crashes allows one to understand and improve the climate models. Fuzzy neural networks (FNN) based on Takagi-Sugeno-Kang (TSK) type fuzzy rule is presented to determine chances of failure of the climate models. For this purpose, the parameters characterising the climate crashes in the simula… Show more

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(1 citation statement)
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“…Anti-security techniques are used to avoid detection by antivirus software and firewalls, while anti-sandbox techniques bypass monitoring tools that report malware behavior. Malware authors also learn about the design flaws of virtual environments, including registry keys, specific files, and processes, to write intelligent code that disrupts the actual execution flow [8,9].…”
Section: Introductionmentioning
confidence: 99%
“…Anti-security techniques are used to avoid detection by antivirus software and firewalls, while anti-sandbox techniques bypass monitoring tools that report malware behavior. Malware authors also learn about the design flaws of virtual environments, including registry keys, specific files, and processes, to write intelligent code that disrupts the actual execution flow [8,9].…”
Section: Introductionmentioning
confidence: 99%