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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 Robot of artificial neural networks for activity recognition. Данная статья описывает нейросетевой подход для

Editorial: Toward and Beyond Human-Level AIartificial neural network

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

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