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
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