Neural Networks - State of Art, Brief History, Basic Models and Archtecture

Bohdan Macukow

Abstract

The history of neural networks can be traced back to the work of trying to model the neuron. Today, neural networks discussions are occurring everywhere. Neural networks, with their remarkable ability to derive meaning from complicated or imprecise data, can be used to extract patterns and detect trends that are too complex to be noticed by either humans or other computer techniques. A brief history of the neural networks research is presented and some more popular models are briefly discussed. The major attention is on the feed-forward networks and specially to the topology of such the network and method of building the multi-layer perceptrons.
Author Bohdan Macukow ZSPI
Bohdan Macukow,,
- Department of Information Processing Systems
Pages3-14
Publication size in sheets0.55
Book Saeed Khalid, Snášel Václav (eds.): Computer Information Systems and Industrial Management, Lecture Notes In Computer Science, vol. 8838, 2014, Springer-Verlag, ISBN 978-3-662-45236-3, [978-3-662-45237-0], 702 p.
Keywords in EnglishNeural networks, History, Building feedforward net
Abstract in PolishPraca omawia historie badań nad sieciami neuronowymi. Opisane są najważniejsze modele sieciowe a nastepnie podstawowe zasady budowy jednokierunkowych sieci neuronowych. Podany jest obszerny przegląd prac dotyczących reguł określanie liczy warstw pośrednich i liczby neuronów w tych warstwach
DOIDOI:10.1007/978-3-319-45378-1_1
URL http://link.springer.com/chapter/10.1007%2F978-3-319-45378-1_1
Languageen angielski
Score (nominal)15
ScoreMinisterial score = 15.0, 27-06-2017, BookChapterSeriesAndMatConf
Ministerial score (2013-2016) = 15.0, 27-06-2017, BookChapterSeriesAndMatConf
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