Modification of Learning Feedforward Neural Networks with the BP Method

Autor:	Jarosław Bilski, Patryk Najgebauer, Jacek Smoląg
Rok vydání:	2021
Předmět:	Artificial neural network Computer science Computer Science::Neural and Evolutionary Computation Feedforward neural network Algorithm Backpropagation
Zdroj:	Artificial Intelligence and Soft Computing ISBN: 9783030879853 ICAISC (1)
DOI:	10.1007/978-3-030-87986-0_5
Popis:	The backpropagation (BP) algorithm is a worldwide used method for learning neural networks. The BP has a low computational load. Unfortunately, this method converges relatively slowly. In this paper a new approach to the backpropagation algorithm is presented. The proposed solution speeds up the BP method by using vector calculations. This modification of the BP algorithm was tested on a few standard examples. The obtained performance of both methods was compared.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::0ba17bba217158113a111a975c6d00a6 https://doi.org/10.1007/978-3-030-87986-0_5 Zobrazit plný text záznamu