A self-training, self-repairing back-propagation environment

Autor:	S. Leven
Rok vydání:	2003
Předmět:	Artificial neural network Basis (linear algebra) Computer science business.industry Retraining Machine learning computer.software_genre Backpropagation Self repairing Artificial intelligence business computer Reset (computing) Self training
Zdroj:	[Proceedings 1992] IJCNN International Joint Conference on Neural Networks.
DOI:	10.1109/ijcnn.1992.287078
Popis:	The author introduces a series of novel approaches to backpropagation: (1) the use of logic forms (classical, modal, and nonmonotonic) as training tools; (2) the construction of new nets through the responses of logically trained nets (weight sets); (3) the use of N2 as a reset mechanism for impermissibly slow or false responses by subnets; and (4) the retraining of failing subnets by the logically trained nets. A biologically plausible basis for the system is offered. >
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::b4820ce5131cc0622164f19a931dd2aa https://doi.org/10.1109/ijcnn.1992.287078 Zobrazit plný text záznamu