The power of deep learning to ligand-based novel drug discovery discriminative and generative
neural-network models are becoming an integral part of the modern approach
Integration of artificial neural networks and knowledge basesGolovko, V. A.,
Kroshchanka, A. A.,
Golenkov, V. V.,
Ivashenko, V. P.,
Kovalev, M. V.,
Taberko, V. V.,
Ivaniuk, D. S. This article reviews the questions and directions of
integration of
artificial neural networks Compressing a convolution neural network based on quantizationModern deep
neural network models contain a large number of parameters and have a significant size
Spectrum Hole Prediction in Cognitive Radio Systems by LSTM Neural Networks and described. A description of the technology of forming a dataset for training and testing
neural networks Markov Decision Process and Artificial Neural Network for Resource Capacity Planning in 5G Network Slicing reallocation, and maximum resource utilization. We employ an
artificial neural network (multilayer perceptron
Information structures in the framework of information warfare – ontology approach of information, provide its storage
and access to users. Such structures may include
neural
networks, self