G-Networks: Development of the Theory of Multiplicative Networks for extending the multiplicative theory of queueing
networks and for practical specialists in
modeling computing
Deep neural networks application in next-generation intelligent computer systems) based
on the integration of pre-trained
models of deep
neural networks and logical
models developed
Energy Estimation for VANET Performance Based Robust Neural Networks Learning become a major concern in VANET design. Artificial
neural networks (ANNs) are one of the most popular
The effect of the neural activity on topological properties of growing neural networks in
neural networks. By using a two-dimensional activity-dependent growth
model we demonstrated the
neural Neural network forecasting in prediction Sharpe ratio: Evidence from EU debt marketThis study analyzes a
neural networks model that forecast Sharpe ratio. The developed
neural Neural networks for aerosol particles characterization© 2016 Elsevier LtdMultilayer perceptron
neural networks with one, two and three inputs are built
Permeability prediction using hybrid neural network modelling in well logging. The method is based on the use of a hybrid
neural network model consisting of several
Examples of the use of artificial neural networks in the analysis of geodata visualization, and comparison of results are marked. The results of application of
artificial
neural networks Extraction of Human Body Parts in Image Using Convolutional Neural Network and Attention Model and attention
model. The novelty of the proposed work is that algorithm is based on a convolutional
neural