Artificial Neural Network (ANN) learns from inputs and outputs.The values of the weights and biases in ANN are updated according to inputs and outputs.Researchers have proposed algorithms to train Multi-Layer Perceptron (MLP).However, classical HR Handlebar techniques often face problems in solving this optimization problem.They tend to need large
Hyperconnectivity in juvenile myoclonic epilepsy: A network analysis
Objective: Juvenile myoclonic epilepsy (JME) is a common idiopathic (genetic) generalized epilepsy (IGE) syndrome characterized by impairments in executive and cognitive control, affecting independent living and psychosocial functioning.There is a growing consensus that JME is associated with abnormal function of diffuse brain networks, typically a
COMPREHENSIVE METHODOLOGY FOR TRANSLATION ANALYSIS OF CROSS-CULTURAL INCONGRUITY IN ENGLISH ANECDOTES
The article substantiates the problem of performing translation analysis of cross-cultural incongruity in English anecdotes in Ukrainian translation using the methodology consisting of four methodological blocks (qualification, linguocultural, linguistic, and translation ones).The purpose of the article is to justify the presented cognitive and dis