Fuzzy Modelling and Control
NEURO FUZZY MODELLING AND CONTROL OF MULTISTAGE DYNAMIC PROCESSES THAT DEPEND ON INPUTS WITH UNCERTAINTY ELEMENTS
... high-quality control of complex processes requires highly precise calculation of significant ...on fuzzy and neuro-fuzzy modelling are widely used in the problems of modelling processes ...
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NEURO FUZZY MODELLING AND CONTROL OF MULTISTAGE DYNAMIC PROCESSES THAT DEPEND ON INPUTS WITH UNCERTAINTY ELEMENTS
... 3.1 Factors of inefficient operation of drilling rig The properties of rock mass are varied during drilling. Therefore, maximum allowable feed thrust of drilling rig working tool becomes a variable. Operator of drilling ...
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NEURO FUZZY MODELLING AND CONTROL OF MULTISTAGE DYNAMIC PROCESSES THAT DEPEND ON INPUTS WITH UNCERTAINTY ELEMENTS
... function control flow graph is used to generate a hidden embedding into an executable ...function control flow graph, and hence it is possible to embed into the executable code of the same function by the ...
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NEURO FUZZY MODELLING AND CONTROL OF MULTISTAGE DYNAMIC PROCESSES THAT DEPEND ON INPUTS WITH UNCERTAINTY ELEMENTS
... to control and management via direct cooperation between cloud service staff and communication provider, the number of channels formed between end user and a cloud service as a rule is constantly growing while ...
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NEURO FUZZY MODELLING AND CONTROL OF MULTISTAGE DYNAMIC PROCESSES THAT DEPEND ON INPUTS WITH UNCERTAINTY ELEMENTS
... Economic Indicators Of The Manufacturing Industry Of Kazakhstan In The Years 1998-2010 With Additional Calculations Using The Cobb-Douglas Production Function With Α+Β=1 And With Taking [r] ...
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NEURO FUZZY MODELLING AND CONTROL OF MULTISTAGE DYNAMIC PROCESSES THAT DEPEND ON INPUTS WITH UNCERTAINTY ELEMENTS
... ordered functions isn't confirmed: existence of a certain compact analytical dependence which traces all values of [disordered] Fcs regularity, would mean at least, that all composite nu[r] ...
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NEURO FUZZY MODELLING AND CONTROL OF MULTISTAGE DYNAMIC PROCESSES THAT DEPEND ON INPUTS WITH UNCERTAINTY ELEMENTS
... We presented IP Fast Hopping, a new approach that can prevent exhausting of server’s resources during brute-force DDoS attacks and can be used to hide content and destination of client’s[r] ...
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NEURO FUZZY MODELLING AND CONTROL OF MULTISTAGE DYNAMIC PROCESSES THAT DEPEND ON INPUTS WITH UNCERTAINTY ELEMENTS
... We propose the swarm algorithm of connection permutation between pins based on the integration of two models: an adaptive behavior of ant colony and collective alternative adaptation.. T[r] ...
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NEURO FUZZY MODELLING AND CONTROL OF MULTISTAGE DYNAMIC PROCESSES THAT DEPEND ON INPUTS WITH UNCERTAINTY ELEMENTS
... REVIEW OF THE MAIN PARTICIPANTS communications in web browser are allowed by the OF MARKET OF STREAMING DATA several technologies: use of various web-browser TRANSMISSION IN A WEB-BROWSE[r] ...
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NEURO FUZZY MODELLING AND CONTROL OF MULTISTAGE DYNAMIC PROCESSES THAT DEPEND ON INPUTS WITH UNCERTAINTY ELEMENTS
... In this paper, a non-destructive condition assessment approach has been proposed for automobile rotating machine using data mining technique through frequency domain analysis on acoustic[r] ...
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NEURO FUZZY MODELLING AND CONTROL OF MULTISTAGE DYNAMIC PROCESSES THAT DEPEND ON INPUTS WITH UNCERTAINTY ELEMENTS
... In this study Average instantaneous frequency AIF is used as a parameter for analyzing the surface EMG signal during muscle contraction after processing by EMD method and different types[r] ...
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NEURO FUZZY MODELLING AND CONTROL OF MULTISTAGE DYNAMIC PROCESSES THAT DEPEND ON INPUTS WITH UNCERTAINTY ELEMENTS
... In regard to this an explorative statistical analysis model is used here in this paper that assesses two proposed metrics called resource optimal utilization ropt and coupling between [r] ...
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NEURO FUZZY MODELLING AND CONTROL OF MULTISTAGE DYNAMIC PROCESSES THAT DEPEND ON INPUTS WITH UNCERTAINTY ELEMENTS
... are Fuzzy C-Mean (FCM) [1], Possibilistic C-Mean (PCM) [2], and Generalized Fuzzy C-Mean ...[3]. Fuzzy Clustering with Proportional Membership (FCPM) is a clustering technique that based on VQ ...
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NEURO FUZZY MODELLING AND CONTROL OF MULTISTAGE DYNAMIC PROCESSES THAT DEPEND ON INPUTS WITH UNCERTAINTY ELEMENTS
... Several methods have been used to solve job-shop scheduling problems and the method proposed here is artificial intelligence by using the artificial immune system algorithm AIS.. The adv[r] ...
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NEURO FUZZY MODELLING AND CONTROL OF MULTISTAGE DYNAMIC PROCESSES THAT DEPEND ON INPUTS WITH UNCERTAINTY ELEMENTS
... Active region, merging of several AIA beacon images to accentuate features and simultaneously compare between multiple wavelengths, super resolution from sets of consecutive frames avail[r] ...
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NEURO FUZZY MODELLING AND CONTROL OF MULTISTAGE DYNAMIC PROCESSES THAT DEPEND ON INPUTS WITH UNCERTAINTY ELEMENTS
... The simulation results showed that the long TPF improves both of UE User Equipment throughput and cell eNodeB throughput, however the achieved scheduler fairness in this case is low.. On[r] ...
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NEURO FUZZY MODELLING AND CONTROL OF MULTISTAGE DYNAMIC PROCESSES THAT DEPEND ON INPUTS WITH UNCERTAINTY ELEMENTS
... In the general areas of the existing hostel, the conventional T12, 38 mm diameter, fluorescent lamps are used. But, in the green building hostel area energy efficient luminaires with T8 lamps with electronic ...
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NEURO FUZZY MODELLING AND CONTROL OF MULTISTAGE DYNAMIC PROCESSES THAT DEPEND ON INPUTS WITH UNCERTAINTY ELEMENTS
... For effective and quick reconfiguration of the server in accordance with the current requirements of the system for resistance to time analysis, for performance and for consumption of memory Mamdani mechanism of ...
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NEURO FUZZY MODELLING AND CONTROL OF MULTISTAGE DYNAMIC PROCESSES THAT DEPEND ON INPUTS WITH UNCERTAINTY ELEMENTS
... the simulation results show that the new JUS-CQI increased slightly as the number of users in increased to 22, compared to JUS 0.96 of JUSCQI compare to 0.89 of JUS; this is because in t[r] ...
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NEURO FUZZY MODELLING AND CONTROL OF MULTISTAGE DYNAMIC PROCESSES THAT DEPEND ON INPUTS WITH UNCERTAINTY ELEMENTS
... Reddy L.S.S, "Automated generation of Test cases for testing critical regions of Embedded systems through Adjacent Pair-wise Testing", International Journal of Mathematics and Computatio[r] ...
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