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Artificial intelligence implementation and development in the paper. The structure of neural networks and the principles of their work are considered.

Parabola-Based Artificial Neural Network Activation Functions-based nonlinearity that allows expanding the logical capabilities of neurons and neural networks based on them

Pairing an arbitrary regressor with an artificial neural network estimating aleatoric uncertainty in regression tasks performed by artificial neural networks. It is based on the simultaneous training of two

Analysis of artificial neural network in a photovoltaic system to extract the maximum power in a photovoltaic based system paradigm. In the research, we will introduce a new scheme of tracking the Pmax using an artificial neural network (ANN

Neural network ChatGPT: a helping hand or a new competitor? advanced neural networks called Chat GPT. It was determined that neural networks are a type of artificial

Cognitive systems, artificial neural networks and differential equations: Social media data for constructing mathematical and neural network models for analyzing the social media users' perception based

About the user validation algorithm, based on artificial neural networks
of artificial neural networks. The article is mainly focused on the implementation of self-organizing maps

Deep Neural Networks for Emotion Recognition methods. Deep convolutional neural networks and recurrent neural networks with bidirectional LSTM memory

Artificial Neural Network as Kernel of Image Analysis Software of an intelligent agent for image processing using hybrid of Artificial Neural Network and Bayesian networks

The study of artificial neural networks on the example of a neural network for the game of TIC-TAC-toeThis paper discusses the main types of neural networks, their architecture and features. A task

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