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Machine Learning and Geometric Mathematical Models in Kimberlite Well Classification Problems
Gabdrakhmanova N., Klimtsev P.
. The paper presents neural network, statistical and geometric mathematical models for solving the problem
Neural networks for aerosol particles characterization
Berdnik V., Loiko V.
© 2016 Elsevier LtdMultilayer perceptron neural networks with one, two and three inputs are built
Markov Decision Process and Artificial Neural Network for Resource Capacity Planning in 5G Network Slicing
Ghebrial I., Leonteva K., Kochetkova I., Shorgin S.
and analysis of a resource capacity planning and reallocation model within the context of network slicing
МОДЕЛИРОВАНИЕ АКТИВНОСТИ ИМПУЛЬСНОЙ НЕЙРОННОЙ СЕТИ С НЕЙРОНАМИ ИЖИКЕВИЧА
Хусаинова Лилия Рамзисовна, Агафонов Александр Алексеевич
MODELING THE ACTIVITY OF A PULSED NEURAL NETWORK WITH IZHIKEVICH NEURONS
Neural Network Regularization Techniques: A Scoping Review
Khuditsky V., Kritsky S., Zhukova V., Toponen N.
generalization, and enhance the predictive accuracy of neural networks. Regularization allows you to find a
The analysis of various neural networks types and specifics and implementing the problem of recognizing numbers using their tools
Pankov A.S., Khohlov A.A.
We study some issues relating neural networks, their architecture and classification, the most
Speech Signal Processing using Pulse Coupled Neural Network
Jurečka, M., Šarkan, B.
This paper presents results obtained from the analysis of Pulse Coupled Neural Network (PCNN
Neural network component of the product marking recognition system on the production line
Kroshchanka, A., Ivaniuk, D.
neural network approach to solve the problem of recognizing various product markings manufactured by JSC
Augmentation Tools for Object Detection in Satellite Images by Using U-Net Neural Network
Zhuk, A., Ablameyko, S., Абламейко, С. В.
-NET neural network. The main idea of our approach is to use additional augmentations during model learning
Neural Network Technology for Real-Time IT Service Management
Krasnoproshin, V., Starovoitov, A.
that affects operational management. Neural network forecasting is used to improve control systems. A model

Страница 12 из 5746

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