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Artificial neural networks and deep learningThe purpose of this paper is to study the principles of neural networks working and deep learning
Development of Forecasting Models to Manage the Power Consumption Modes of the Gas Industry Facilities the contractual work and minimizing the expenses for power consumed based on the artificial neural network models
Neural Network Regularization Techniques: A Scoping Review generalization, and enhance the predictive accuracy of neural networks. Regularization allows you to find a
Robust Estimation of VANET Performance-Based Robust Neural Networks Learning and vehicle with a high mobility feature. Presently the artificial neural networks is often used in several
Financial robot based on deep neural networks the integrity of financial systems. Noteworthy strides made by artificial intelligence (AI) experts
Application of Convolutional Neural Networks for Image Detection and Recognition Based on a Self-written Generator objects using convolutional neural networks is considered. The purpose of the work is to implement
Modeling of technological processes by artificial neural networksModeling of technological processes by artificial neural networks
Prototype of classifier for the decision support system of legal documents, an original model based on an artificial neural network was developed, which shows an unmistakable
Оценка стоимости европейского опциона при помощи нейронной сети на основе биномиального дереваIn this paper, the price of a European put option is estimated using an artificial neural networks
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
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