Материалов:
1 005 012

Репозиториев:
30

Авторов:
761 409

По вашему запросу найдено документов: 57451

Страница 5 из 5746

Comparison of Different Convolutional Neural Network Architectures for Satellite Image Segmentation
Khryashchev V., Ivanovsky L., Pavlov V., Ostrovskaya A., Rubtsov A.
Convolutional neural networks for detection geo-objects on the satellite images from DSTL, Landsat
Developing a seq2seq neural network using visual attention to transform mathematical expressions from images to LaTeX
Vyaznikov, P. A., Kotilevets, I. D.
on training and measuring the effectiveness of several neural network models.
Information Capacity of a Neural Network with Redundant Connections Between Neurons
© 2017 IEEE. In this work the model of a spiking recurrent neural network where any pair of neurons
The use of recurrent neural networks to solve a regression type problem
Safiullin M., Elshin L., Gilmanov A.
the neural network architecture, built a neural network model taking into account the heterogeneity
Neural Networks Interpretation Improvement
Kroshchanka, A., Golovko, V.
The paper is devoted to studying the issues of interpretability of neural network models
Neural-network simulation of diesel operation under a nonsteady load
Zubkov E., Khairullin A.
. Numerical experiments are based on a model, a neural network, and test-bench data.
Robust Estimation of VANET Performance-Based Robust Neural Networks Learning
Abdellah A.R., Muthanna A., Koucheryavy A.
and vehicle with a high mobility feature. Presently the artificial neural networks is often used in several
Paralinguistic model for emotions recognition with deep neural networks
Shchetinin E.Y., Sevastianov L.A., Kulyabov D.S., Ayrjan E.A., Demidova A.V.
In this paper the computer paralinguistic model for emotions recognition based on deep neural
Spectrum Hole Prediction in Cognitive Radio Systems by LSTM Neural Networks
Bohush, R., Naumovich, N., Adamovskiy, Y., Chertkov, V.
of a long short-term memory recurrent neural network models including classical, autoencoder, sparse
Model of an artificial neural network for solving the problem of controlling a genetic algorithm using the mathematical apparatus of the theory of Petri nets
Petrosov, D. A., Lomazov, V. A., Petrosova, N. V.
neural network is able to control changes in the parameters of the functioning of the operators

Страница 5 из 5746

Фасеты

Новости проекта

Новости

Партнеры

КФУ
ТГУ
Elpub
СФУ
Webpublishers

Индексация

BASE
WorldCat
OpenAIRE
EDS
core