ARTIFICIAL NEURAL NETWORK APPROACH TO TRAFFIC FLOW CONTROL is conducted under a microscopic traffic simulation software CTraf. Results demonstrate that
neural network Gradient conjugate priors and multi-layer neural networksThe paper deals with learning probability distributions of observed data by
artificial neural Agent communication method in cooperative environment based on the artificial neural networks in this paper. An algorithm is proposed that is based in reinforcement learning and
recurrent
neural networks Content adaptation neural network method cause-specific the state of users sensor. The state of the autonomic nervous system is monitored by a two-layer
artificial neural network Modelling of word usage frequency dynamics using artificial neural network. An
artificial feedforward
neural network was used to predict word usage frequencies. The
neural network Neural Network Regularization Techniques: A Scoping Review generalization, and enhance the predictive accuracy of
neural networks. Regularization allows you to find a
НЕЙРОННЫЕ СЕТИ КАК ИНСТРУМЕНТ ИНТЕЛЛЕКТУАЛЬНОГО МОДЕЛИРОВАНИЯ ОБРАЗОВАТЕЛЬНОЙ СРЕДЫ neural networks. Also it has been released of aspects of
artificial neural networks applying for decision
Activity Recognition Based on Artificial Neural Network Approach using PIQ RobotBezobrazov, S.,
Golovko, V.,
Kislyuk, S.,
Sheleh, A.,
Безобразов, С.,
Головко, В.,
Кислюк, С.,
Шелег, А.
of
artificial neural networks for activity recognition.
Данная статья описывает нейросетевой подход для
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