Cover Image

The use of pseudoinversion and regula-rization methods in adaptive models of structured representation and processing of data

Saved in:

Bibliographic Details
Date:	2017
Main Authors:	F. G. Garashchenko, O. S. Degtjar
Format:	Article
Language:	English
Published:	2017
Series:	International Scientific Technical Journal «Problems of Control and Informatics»
Online Access:	http://jnas.nbuv.gov.ua/article/UJRN-0001286288
Tags:	Add Tag No Tags, Be the first to tag this record!
Journal Title:	Library portal of National Academy of Sciences of Ukraine \| LibNAS

Institution

Library portal of National Academy of Sciences of Ukraine | LibNAS

Similar Items

Adaptive approximation of signals using pseudoinversion methods
by: F. H. Harashchenko, et al.
Published: (2017)

Structural and parametric data representation using the second order optimization method
by: F. H. Harashchenko, et al.
Published: (2016)

The problems of classification by means of pseudoinversion: the transformation of the feature space, influence of perturbations of initial information
by: F. G. Garashchenko, et al.
Published: (2018)

Representing weighted pseudoinverse matrices with mixed weights in terms of other pseudoinverse matrices
by: E. F. Galba, et al.
Published: (2018)

Weighted pseudoinversion with singular weights
by: I. V. Sergienko, et al.
Published: (2016)

Weighted pseudoinversion with indefinite weights
by: N. A. Varenjuk, et al.
Published: (2018)

About Methods for Classifying Hidden Language Concepts in Specialized Texts Involving Pseudoinverse, Clustering and Data Grouping
by: Yu. V. Krak, et al.
Published: (2021)

Iterative methods for calculation of weighted pseudoinverse matrices with mixed weights
by: N. A. Varenjuk, et al.
Published: (2021)

Formalization of the mathematical modeling process of adaptive change of code structure in wireless data transmission
by: Horlynskyi, Borys V., et al.
Published: (2019)

Formalization of the mathematical modeling process of adaptive change of code structure in wireless data transmission
by: B. V. Horlynskyi, et al.
Published: (2019)

Weighted pseudoinversion with indefinite weights
by: Vareniuk, N. A., et al.
Published: (2018)

Weighted pseudoinverse matrices with indefinite weights
by: A. N. Khimich, et al.
Published: (2017)

Weighted pseudoinversion of matrices with singular weights
by: Galba, E. F., et al.
Published: (1994)

Methods for computing weighted pseudoinverse matrices and weighted normal pseudosolutions with singular weights
by: E. F. Galba, et al.
Published: (2018)

Weighted singular decomposition and weighted pseudoinversion of matrices
by: Galba, E. F., et al.
Published: (1996)

Methods of pseudoinverse algebra in identification problems for the state of thick elastic plate
by: V. A. Stojan, et al.
Published: (2016)

Expansion of weighted pseudoinverse matrices with singular weights into matrix power products and iteration methods
by: Galba, E. F., et al.
Published: (2007)

Methods consolidated data processing using dataspaces
by: Shakhovska, N.B.
Published: (2025)

Weighted Singular-Valued Decomposition of Matrices and Methods of Solving Problems Weighted Pseudoinverse with Singular Weights
by: Ye. F. Halba, et al.
Published: (2019)

Expansion of Weighted Pseudoinverse Matrices in Matrix Power Products
by: Galba, E. F., et al.
Published: (2004)

Methods and techniques for management of ontolodgy-based knowledge representation models in the context of BIG data
by: Novitsky, A.V.
Published: (2022)

Representation of Knowledge in Narrow Focused Data Domains Using Thesaurus
by: H. Matsiuk, et al.
Published: (2019)

Study of weighted pseudoinverse matrices with in definite singular weights
by: I. V. Serhiienko, et al.
Published: (2022)

Iterative method for calculation of weighted pseudoinverse matrices with mixed weights on the basis of their decompositions into matrix power series
by: N. A. Vareniuk, et al.
Published: (2020)

Weighted Singular-Valued Decomposition of Matrices and Methods of Solving Problems Weighted Pseudoinverse with Singular Weights
by: Галба, Євген Федорович, et al.
Published: (2019)

Existence and uniqueness of weighted pseudoinverse matrices with nonsingular indefinite weights
by: N. A. Varenjuk, et al.
Published: (2020)

Optimisation Linear Classification Perturration Signal Means Pseudoinverse Matrices
by: H. I. Kudin
Published: (2017)

Increase the temporal efficiency of data structures in memory based on adaptation
by: Shinkarenko, V.I., et al.
Published: (2015)

Data collection for analytical activities using adaptive micro-service architecture
by: Коваль, О.В., et al.
Published: (2021)

Data collection for analytical activities using adaptive micro-service architecture
by: O. V. Koval, et al.
Published: (2021)

Models of representation and data transformation in the problems of environmental monitoring in urbanized areas
by: V. A. Artemchuk, et al.
Published: (2016)

Method of preparing primary information for adaptive wireless data transmission device
by: B. V. Horlynskyi, et al.
Published: (2019)

Adaptive Method of Identification of Models of Nonlinear Dynamic Systems with Using Integral Volterra Series
by: V. A. Ivaniuk, et al.
Published: (2019)

Expansion of weighted pseudoinverse matrices with mixed weights into matrix power series and power products
by: E. F. Galba, et al.
Published: (2019)

Limitations of the pseudoinverse method for the con trol over linear connected memoryless plants gua ran teed results
by: V. I. Gritsenko, et al.
Published: (2019)

Existence and uniqueness of weighted pseudoinverse matrices and weighted normal pseudosolutions with singular weights
by: Galba, E. F., et al.
Published: (2011)

A method of adaptive binarization of halftone images with additional processing on use of signal-to-noise ratio
by: Egorov, P. M., et al.
Published: (2020)

A method of adaptive binarization of halftone images with additional processing on use of signal-to-noise ratio
by: P. M. Yehorov, et al.
Published: (2020)

The methods for big data processing
by: Ja. O. Tupalo
Published: (2018)

Probabilistic Modeling of Expert Knowledge Using Psychosemantics Methods (Using Environmental Data As An Example)
by: I. P. Kameneva, et al.
Published: (2019)