%0 Conference Proceedings
%T Neural Networks – State of Art, Brief History, Basic Models and Architecture
%+ Warsaw University of Technology [Warsaw]
%A Macukow, Bohdan
%Z Part 1: Invited Paper
%< avec comité de lecture
%( Lecture Notes in Computer Science
%B 15th IFIP International Conference on Computer Information Systems and Industrial Management (CISIM)
%C Vilnius, Lithuania
%Y Khalid Saeed
%Y Władysław Homenda
%I Springer International Publishing
%3 Computer Information Systems and Industrial Management
%V LNCS-9842
%P 3-14
%8 2016-09-14
%D 2016
%R 10.1007/978-3-319-45378-1_1
%K Neural networks
%K History
%K Building feedforward net
%Z Computer Science [cs]
%Z Humanities and Social Sciences/Library and information sciencesConference papers
%X 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.
%G English
%Z TC 8
%2 https://inria.hal.science/hal-01637477/document
%2 https://inria.hal.science/hal-01637477/file/419526_1_En_1_Chapter.pdf
%L hal-01637477
%U https://inria.hal.science/hal-01637477
%~ SHS
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-TC
%~ IFIP-TC8
%~ IFIP-CISIM
%~ IFIP-LNCS-9842