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Organization Features of the Mitochondrial Genome of Sunflower (Helianthus annuus L.) with ANN2-Type Male-Sterile Cytoplasm
(2019-10)
This study provides insights into the flexibility of the mitochondrial genome in sunflower (Helianthus annuus L.) as well as into the causes of ANN2-type cytoplasmic male sterility (CMS). De novo assembly of the mitochondrial genome of male...
New method of training two-layer sigmoid neural networks using regularization
(2019-06)
Networks
(ANN). We introduce the concept of the working area of a neuron for sigmoid ANNs in the form
of a band in the attribute space, its width and location associated with the center line of the band
to a fixed point. We define of the centers...
and widths of the working areas of neurons by analogy to the radial ANNs. On this basis, an algorithm for selecting the initial approximation of network parameters, ensuring uniform coverage of the data area with neuron working areas was developed. Network...
and widths of the working areas of neurons by analogy to the radial ANNs. On this basis, an algorithm for selecting the initial approximation of network parameters, ensuring uniform coverage of the data area with neuron working areas was developed. Network...
The Multi-Objective Optimization of Complex Objects Neural Network Models
(2016-08)
of the structure
and functions of biological brain cortex. Artificial Neural
Network (ANN) represents an aggregate of interrelated
Formal Neurons (FN), each of them representing a sim-
plified model of a biological neuron, a fundamental
structural...
and functional unit of the nervous system. ANN classification can be based upon different attri- butes, for instance: - type of communication topology existing between the neurons of the network; - signal propagation characteristics or signal type; - type...
and functional unit of the nervous system. ANN classification can be based upon different attri- butes, for instance: - type of communication topology existing between the neurons of the network; - signal propagation characteristics or signal type; - type...
ПРИМЕНЕНИЕ КОЛЛЕКТИВОВ ИСКУССТВЕННЫХ НЕЙРОННЫХ СЕТЕЙ ДЛЯ РЕШЕНИЯ ЗАДАЧ КЛАССИФИКАЦИИ
(Сибирский федеральный университет, 2014)
тестирования на данных задачах.
Таблица 3 – результаты тестирования
Алгоритм Ирисы Вина Кредиты
(Австралия)
Кредиты
(Германия)
SC_GP+ANN 6,3% 3,9% 11,3% 23%
SC_GP+ANN+E 2,5% 2,4% 9,9% 20%
В таблице 2 представлена относительная ошибка классификации на...
тестовой выборке. В данной таблице SC_GP+ANN означает, что использовалась ИНС сгенерированная самоконфигурируемым алгоритмом генетического программирования. Алгоритм SC_GP+ANN+E использовал коллектив ИНС. Из представленных выше результатов видно, что...
тестовой выборке. В данной таблице SC_GP+ANN означает, что использовалась ИНС сгенерированная самоконфигурируемым алгоритмом генетического программирования. Алгоритм SC_GP+ANN+E использовал коллектив ИНС. Из представленных выше результатов видно, что...
Stomatal Conductance Increases with Rising Temperature
(2017-08)
ISSN: (Print) 1559-2324 (Online) Journal homepage: http://www.tandfonline.com/loi/kpsb20
Stomatal Conductance Increases with Rising
Temperature
Josef Urban, Miles Ingwers, Mary Anne McGuire & Robert O. Teskey
To cite this article: Josef Urban, Miles...
Ingwers, Mary Anne McGuire & Robert O. Teskey (2017): Stomatal Conductance Increases with Rising Temperature, Plant Signaling & Behavior, DOI: 10.1080/15592324.2017.1356534 To link to this article: http://dx.doi.org/10.1080/15592324.2017.1356534 Accepted...
Ingwers, Mary Anne McGuire & Robert O. Teskey (2017): Stomatal Conductance Increases with Rising Temperature, Plant Signaling & Behavior, DOI: 10.1080/15592324.2017.1356534 To link to this article: http://dx.doi.org/10.1080/15592324.2017.1356534 Accepted...
The Variety of Nilpotent Tortkara Algebras
(2019-02)
maps θ : A×A −→ V such that
θ(xy, zt) + θ(xt, zy) = θ(J(x, y, z), t) + θ(J(x, t, z), y).
Its elements are called cocycles. For a linear map f : A −→ V, we define δf : A × A −→ V
by δf (x, y) = f(xy) so that δf ∈ Z2 (A,V). Define B2 (A,V) = {θ = δf : f...
the set Ann(θ) = {x ∈ A : θ (x,A) = 0} the annihilator of θ. Recall that the annihilator of an algebra A is defined as the ideal Ann (A) = {x ∈ A : xA = 0}, and observe that Ann (Aθ) = Ann(θ) ∩Ann (A)⊕ V. We now state the following key result: Lemma 1...
the set Ann(θ) = {x ∈ A : θ (x,A) = 0} the annihilator of θ. Recall that the annihilator of an algebra A is defined as the ideal Ann (A) = {x ∈ A : xA = 0}, and observe that Ann (Aθ) = Ann(θ) ∩Ann (A)⊕ V. We now state the following key result: Lemma 1...
The Variety of Nilpotent Tortkara Algebras
(Сибирский федеральный университет. Siberian Federal University, 2019-04)
of all skew-symmetric bilinear maps � : A×A −→ V such that
�(xyP zt) + �(xtP zy) = �(J(xP yP z)P t) + �(J(xP tP z)P y)O
Its elements are called cocycles. For a linear map f : A −→ V, we define �f : A × A −→ V
by �f (xP y) = f(xy) so that �f ∈ Z2 (APV...
). We also call the set Ann(�) = {x ∈ A : � (xPA) = 0} the annihilator of �. Recall that the annihilator of an algebra A is defined as the ideal Ann (A) = {x ∈ A : xA = 0}, and observe that Ann (A�) = Ann(�) ∩Ann (A)⊕ VO We now state the following key...
). We also call the set Ann(�) = {x ∈ A : � (xPA) = 0} the annihilator of �. Recall that the annihilator of an algebra A is defined as the ideal Ann (A) = {x ∈ A : xA = 0}, and observe that Ann (A�) = Ann(�) ∩Ann (A)⊕ VO We now state the following key...
Б2.П.2. Программа НИП 06.04.01.06 2017
://www.coursera.org/specializations/bioinformatics
Bioinformatics: Life Sciences on Your Computer [Электронный ресурс]. –
Режим доступа: https://www.coursera.org/course/bioinform
Coghlan, A. A little book of R for bioinformatics [Электронный ресурс] /
A. Coghlan. – Электрон. текстовые дан. – Cambridge: [б...
Б2.П.1. Программа НИР 06.04.01.06 2018
://www.coursera.org/course/bioinform
Coghlan, A. A little book of R for bioinformatics [Электронный ресурс] /
A. Coghlan. – Электрон. текстовые дан. – Cambridge: [б.и.], 2013. – Режим
доступа: http://www.info.univ-angers.fr/~gh/wstat/Introduction_R/a-little-book-
of...
Б2.П.3 НИП по получению 06.04.01.06 2017
[Электронный ресурс]. –
Режим доступа: https://www.coursera.org/course/bioinform
Coghlan, A. A little book of R for bioinformatics [Электронный ресурс] /
A. Coghlan. – Электрон. текстовые дан. – Cambridge: [б.и.], 2013. – Режим
доступа: http...