This article examines the practical applications of single hidden layer neural networks in machine learning and artificial intelligence. They have been used in diverse fields, such as finance,medicine, and autonomous vehicles, due to their simplicity and efficiency. The essay explorestheir strengths and limitations and proposes an experiment to evaluate their performance in aspecific task. The results demonstrate their potential in distinguishing patterns and limitations.The flexibility and ease of integration of single hidden layer neural networks make them a valuable tool in machine learning research and industry applications.
© 2008-2024 Fundación Dialnet · Todos los derechos reservados