Results 1 to 10 of about 17,399 (237)

Identification of Multiple Input-multiple Output Non-linear System Cement Rotary Kiln using Stochastic Gradient-based Rough-neural Network [PDF]

Journal of Artificial Intelligence and Data Mining, 2020
Because of the existing interactions among the variables of a multiple input-multiple output (MIMO) nonlinear system, its identification is a difficult task, particularly in the presence of uncertainties.
Gh. Ahmadi, M. Teshnelab
doaj   +1 more source

Auxiliary Model-Based Multi-Innovation Fractional Stochastic Gradient Algorithm for Hammerstein Output-Error Systems

Machines, 2021
This paper focuses on the nonlinear system identification problem, which is a basic premise of control and fault diagnosis. For Hammerstein output-error nonlinear systems, we propose an auxiliary model-based multi-innovation fractional stochastic ...
Chen Xu, Yawen Mao
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Determination of the Concentration of Propionic Acid in an Aqueous Solution by POD-GP Model and Spectroscopy

Energies, 2021
Biorefining and biorefineries are the future of industry and energy. It is still a long way to complete its implementation, but small biorefineries focused mainly on the production of fuels and energy are more and more frequent in rural areas and large ...
Mariusz Adamski, Mirosław Czechlowski, Karol Durczak, Tomasz Garbowski   +3 more
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Finite-time topological identification of complex network with time delay and stochastic disturbance [PDF]

, 2021
summary:The topology identification issue of complex stochastic network with delay and stochastic disturbance is mainly introduced in this paper. It is known the time delay and stochastic disturbance are ubiquitous in real network, and they will impair ...
Qian, Yufeng
core   +1 more source

A Fast and Generic Method to Identify Parameters in Complex and Embedded Geophysical Models: The Example of Turbulent Mixing in the Ocean

Journal of Advances in Modeling Earth Systems, 2021
Geophysical models make predictions relying on parameter values to be estimated from data. However, existing methods are costly because they require either many runs of the complex geophysical model or to implement an adjoint model.
Clement Aldebert, Guillaume Koenig, Melika Baklouti, Philippe Fraunié, Jean‐Luc Devenon   +4 more
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Combined system of extreme control of mineralized water dilution in river basins

Меліорація і водне господарство, 2021
The theory of combined systems of extreme control, which is used in technical systems, was developed and adapted in socio-ecological-economic systems. For example, river basins are such systems.
P. I. Kovalchuk, O. S. Demchuk, V. P. Kovalchuk, Н. A. Balykhina   +3 more
doaj   +1 more source

Effective Connectivity Changes among Brain Hierarchical Architecture of Pre-Supplementary Motor Area in Taxi Drivers

Applied Sciences, 2023
Much effort has been devoted towards the identification of brain areas recruited during driving—as one of the most common motor skills of human beings. However, how driving experience impacts on the brain’s intrinsic functional architecture has not been ...
Huilin Wei, Lubin Wang, Limin Peng, Chenming Li, Tian Ma, Dewen Hu   +5 more
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On the Computation of Derivatives within LD Factorization of Parametrized Matrices

Известия Иркутского государственного университета: Серия "Математика", 2018
The paper presents a new method for calculating the values of derivatives in the LD factorization of parametrized matrices, based on the direct procedure for the modified weighted Gram-Schmidt orthogonalization.
Yu. V. Tsyganova, A. V. Tsyganov
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Geo-environment as an open nonlinear dissipative dynamic system - identification problems, control capabilities, evolution forecast

Геофизический журнал, 2011
Review is dedicated to discussing some problems and methods of studies of modern theory of nonlinear dynamic systems, urgent from the viewpoint of geophysical applications.
V.N. Shuman
doaj   +1 more source

Stochastic accumulation of feature information in perception and memory [PDF]

, 2014
It is now well established that the time course of perceptual processing influences the first second or so of performance in a wide variety of cognitive tasks.
Koen Lamberts, Kent, Christopher, Lamberts, K, Lamberts, Koen, Kent, C., James S. Adelman, Christopher Kent, Koen eLamberts, Guest, Duncan, James S Adelman, Guest, D, Guest, D., Duncan eGuest, Lamberts, K., Adelman, James S., Kent, Chris, Adelman, JS, Christopher eKent, Kent, C, Adelman, J.S., Duncan Guest   +20 more
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