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Gesture recognition based on convolutional neural network

Cheng Peng

This topic uses convolutional neural network deep learning algorithm technology to design a gesture

Оценка стоимости европейского опциона при помощи нейронной сети на основе биномиального дерева

Дяченко З.К.

-Ross-Rubinstein option pricing model. The hidden layers of the neural network are represented by a fully connected layer

Hetero-associative memory technology for development of intelligent control systems of autonomous mobile robots

Prakapovich, R.

, storing and processing sensory and control information. A neural network model of the hierarchical

Convolutional neural network with semantically meaningful activations for speech analysis

Vashkevich, R., Azarov, E. S., Азаров, И. С.

. The mathematical apparatus of convolutional neural networks (CNN) seems suitable to implement this kind

Approaches for Assessing the Polymetallic Impact on Humans in an Urbanized Area Using Neural Network Modeling Methods

Tunakova Y.A., Novikova S.V., Shagidullin A.R., Valiev V.S., Faizullin R.I.

and the investigated components of the environment using neural self-organizing network Kohonen, implemented

Artificial Neural Networks for Evaluation of Psychophysiological State

Poryadin, A. E., Sidorkina, I. G., Порядин, А. Е., Сидоркина, И. Г.

. The described model of evaluation the human’s psychophysiological state using a neural network has the following

On the problem of predicting SINR in a wireless network with mobile users using the neural network apparatus

Bobrikova E.V., Platonova A.A., Yartseva I.S., Khayrov E.M.

station and the mobile user is formulated. The neural network device is chosen as the solution method

Real-time vision-based depth reconstruction with NVIDIA jetson

Bokovoy A., Muravyev K., Yakovlev K.

. Typically, depth reconstruction is done nowadays via fully-convolutional neural networks (FCNNs

Editorial: Toward and Beyond Human-Level AI

Dunin-Barkowski W.

artificial neural network

Нейросетевые и нечеткие модели бюджетирования промышленных предприятий

Хмелева, А. В., Хмелев, А. Г., Бизянов, Е. Е.

to the design of budgets for the modernindustrial plant using artificial neural networks and fuzzy models

Страница 16 из 5746

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