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neuro-fuzzy modelling

NEURO FUZZY MODELLING AND CONTROL OF MULTISTAGE DYNAMIC PROCESSES THAT DEPEND ON 
INPUTS WITH UNCERTAINTY ELEMENTS

NEURO FUZZY MODELLING AND CONTROL OF MULTISTAGE DYNAMIC PROCESSES THAT DEPEND ON INPUTS WITH UNCERTAINTY ELEMENTS

... on fuzzy and neuro-fuzzy modelling are widely used in the problems of modelling processes that are characterised by complexity and presence of measurement ...of fuzzy models ...

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NEURO-FUZZY MODELLING OF BLENDING PROCESS IN CEMENT PLANT

NEURO-FUZZY MODELLING OF BLENDING PROCESS IN CEMENT PLANT

... work, neuro-fuzzy model is developed for a dynamic behaviour of the system to predict the total carbonate content in the raw mix at different clay feed ...on neuro-fuzzy (AN- FIS) model gave a ...

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NEURO FUZZY MODELLING AND CONTROL OF MULTISTAGE DYNAMIC PROCESSES THAT DEPEND ON 
INPUTS WITH UNCERTAINTY ELEMENTS

NEURO FUZZY MODELLING AND CONTROL OF MULTISTAGE DYNAMIC PROCESSES THAT DEPEND ON INPUTS WITH UNCERTAINTY ELEMENTS

... of fuzzy logic, namely on the mechanism of fuzzy conclusion of Mamdani ...of fuzzy logic is basis of system of computer system ...Entrance fuzzy data are processed by the subsystem of optimum ...

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NEURO FUZZY MODELLING AND CONTROL OF MULTISTAGE DYNAMIC PROCESSES THAT DEPEND ON 
INPUTS WITH UNCERTAINTY ELEMENTS

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

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

NEURO FUZZY MODELLING AND CONTROL OF MULTISTAGE DYNAMIC PROCESSES THAT DEPEND ON INPUTS WITH UNCERTAINTY ELEMENTS

... Changing the instructions to the equivalent ones does not disturb the function control flow graph, and hence it is possible to embed into the executable code of the same function by the [r] ...

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NEURO FUZZY MODELLING AND CONTROL OF MULTISTAGE DYNAMIC PROCESSES THAT DEPEND ON 
INPUTS WITH UNCERTAINTY ELEMENTS

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

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

NEURO FUZZY MODELLING AND CONTROL OF MULTISTAGE DYNAMIC PROCESSES THAT DEPEND ON INPUTS WITH UNCERTAINTY ELEMENTS

... For the solution of this task, the main quality criteria from the point of view of a common user are as follows: unnatural voice robot voice; delays in voice transmission one way or othe[r] ...

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NEURO FUZZY MODELLING AND CONTROL OF MULTISTAGE DYNAMIC PROCESSES THAT DEPEND ON 
INPUTS WITH UNCERTAINTY ELEMENTS

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

NEURO FUZZY MODELLING AND CONTROL OF MULTISTAGE DYNAMIC PROCESSES THAT DEPEND ON INPUTS WITH UNCERTAINTY ELEMENTS

... Figure 3 illustrates variations of process variables of drilling rig during drilling of rock mass of complex structure, where Xrock is the variation of maximum allowable feed thrust resu[r] ...

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NEURO FUZZY MODELLING AND CONTROL OF MULTISTAGE DYNAMIC PROCESSES THAT DEPEND ON 
INPUTS WITH UNCERTAINTY ELEMENTS

NEURO FUZZY MODELLING AND CONTROL OF MULTISTAGE DYNAMIC PROCESSES THAT DEPEND ON INPUTS WITH UNCERTAINTY ELEMENTS

... [9] MF Baharom, AM Kassim, R Omar, MK Nor, ZH Bohari, MF Sulaima, WM Bukhari, KB Mohamad, NS Jalil, “Performance Study on Energy Efficiency by Considering Energy Saving Strategies for Re[r] ...

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NEURO FUZZY MODELLING AND CONTROL OF MULTISTAGE DYNAMIC PROCESSES THAT DEPEND ON 
INPUTS WITH UNCERTAINTY ELEMENTS

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

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

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

NEURO FUZZY MODELLING AND CONTROL OF MULTISTAGE DYNAMIC PROCESSES THAT DEPEND ON INPUTS WITH UNCERTAINTY ELEMENTS

... present Fuzzy Kernel k-Medoids (FKkM) algorithm that we claim to be robust against outliers, invariant under translation and data transformation, as the combined development of Fuzzy LVQ, Fuzzy ...

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NEURO FUZZY MODELLING AND CONTROL OF MULTISTAGE DYNAMIC PROCESSES THAT DEPEND ON 
INPUTS WITH UNCERTAINTY ELEMENTS

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

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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NEURO FUZZY MODELLING AND CONTROL OF MULTISTAGE DYNAMIC PROCESSES THAT DEPEND ON 
INPUTS WITH UNCERTAINTY ELEMENTS

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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Efficiency of genetic algorithms in intelligent 
		hybrid control systems

Efficiency of genetic algorithms in intelligent hybrid control systems

... One of the perspective approaches to the synthesis CO emulators is the use of artificial neural networks (ANN) [19-21]. The CO emulator is called a neuro emulator (NE). As a basis for NE we apply multi- layered ...

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