Analysis of MLP-based hierarchical phoneme posterior probability estimator
J Pinto, S Garimella, M Magimai-Doss… - … on Audio, Speech …, 2010 - ieeexplore.ieee.org
We analyze a simple hierarchical architecture consisting of two multilayer perceptron (MLP)
classifiers in tandem to estimate the phonetic class conditional probabilities. In this …
classifiers in tandem to estimate the phonetic class conditional probabilities. In this …
Smart grid: Algorithms for control of active-adaptive network components
K Suslov, D Gerasimov… - 2015 IEEE Eindhoven …, 2015 - ieeexplore.ieee.org
The construction of automated systems intended for the control of electric power systems
requires high-speed mathematical tools. The research is aimed at developing algorithms for …
requires high-speed mathematical tools. The research is aimed at developing algorithms for …
Non-linear output frequency response functions of MDOF systems with multiple non-linear components
In engineering practice, most mechanical and structural systems are modelled as multi-
degree-of-freedom (MDOF) systems such as, eg, the periodic structures. When some …
degree-of-freedom (MDOF) systems such as, eg, the periodic structures. When some …
A deep learning approach for volterra kernel extraction for time domain simulation of weakly nonlinear circuits
Volterra kernels are well known to be the multidimensional extension of the impulse
response of a linear time invariant (LTI) system. It can be used to accurately model weakly …
response of a linear time invariant (LTI) system. It can be used to accurately model weakly …
[PDF][PDF] System identification using optimally designed functional link networks via a fast orthogonal search technique.
HM Abbas - J. Comput., 2009 - academia.edu
In this paper, a sparse nonlinear system iden-tification method is proposed. Functional link
neural nets (FLN) with their high orders polynomial basis functions are capable of …
neural nets (FLN) with their high orders polynomial basis functions are capable of …
A new algorithm for isolated electricity supply system control
K Suslov, D Gerasimov… - … Symposium on Smart …, 2015 - ieeexplore.ieee.org
Many regions in Russia have no centralized electricity supply because of their geographical
location. Taking into account variable electricity generation, available energy storage …
location. Taking into account variable electricity generation, available energy storage …
Алгоритмы управления элементами активно-адаптивных сетей, основанные на применении интегро-степенных рядов Вольтерры
ДО Герасимов, СВ Солодуша… - Современные …, 2015 - cyberleninka.ru
При построении автоматизированных систем управления электроэнергетическими
системами необходимо применение быстродействующего математического аппарата …
системами необходимо применение быстродействующего математического аппарата …
[PDF][PDF] Модели и методы комплексного обоснования развития изолированных систем электроснабжения: дис. док. техн. Наук: защищена 2018/Суслов …
КВ Суслов - Иркутск, 2018 - isem.irk.ru
Актуальность работы. Существенная часть территории России в силу своего
географического положения не охвачена централизованным электроснабжением …
географического положения не охвачена централизованным электроснабжением …
Volterra NN-based behavioral model for new wireless communications devices
G Stegmayer, O Chiotti - Neural Computing and Applications, 2009 - Springer
This paper presents a neural network-based behavioral model for accurately reproducing
the nonlinear and dynamic behavior of new wireless communication devices. Moreover, an …
the nonlinear and dynamic behavior of new wireless communication devices. Moreover, an …
Volterra kernels extraction from neural networks for amplifier behavioral modeling
J Mišić, V Marković, Z Marinković - 2014 X International …, 2014 - ieeexplore.ieee.org
In wireless communication systems the amplifier non-linear distortion problems are
extremely challenging. The linearization techniques based on behavioral models of …
extremely challenging. The linearization techniques based on behavioral models of …