Visual Comparison of Information Storage in Various Neural Network Models

Autor:	C. Aberger, K. E. Kürten, Reinhard Folk, H. Schweng
Rok vydání:	1992
Předmět:	Self-organization Artificial neural network business.industry Time delay neural network Computer science Visual comparison Emphasis (telecommunications) Process (computing) Machine learning computer.software_genre Learning rule Artificial intelligence business computer Nervous system network models
Zdroj:	Neural Network Dynamics ISBN: 9783540197713
DOI:	10.1007/978-1-4471-2001-8_23
Popis:	The performance of neural networks strongly depends on the learning procedure used for the information to be embedded. We present a visual comparison of various learning rules demonstrating the specific self organization process of the neuron system. Special emphasis is given to sparsely connected networks with pattern dependent architecture and greatly increased efficiency.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::5e60ace01282fc2d26beb895dae00400 https://doi.org/10.1007/978-1-4471-2001-8_23 Zobrazit plný text záznamu