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Proceedings 2017, 1(3), 135;

Factor Neural Network and Information Ecology

School of Management Science and Engineering, Shan Xi University of Finance and Economics,Taiyuan 030006, China
Computer Institute, Northwestern Polytechnicle University, Xi’an 710072, China
College of Intelligent Engineering and Math., Liaoning Technical University, Fuxin 123000, China
Presented at the IS4SI 2017 Summit DIGITALISATION FOR A SUSTAINABLE SOCIETY, Gothenburg, Sweden, 12–16 June 2017.
Author to whom correspondence should be addressed.
Published: 9 June 2017
(This article belongs to the Proceedings of the IS4SI 2017 Summit DIGITALISATION FOR A SUSTAINABLE SOCIETY)
PDF [236 KB, uploaded 3 August 2017]


In this paper, we use the mathematical theory of factor space to discuss the survival space and ecological problems of the information carrier. It is pointed out that the factor neural network is a suitable mathematical tool to study the information ecology, and it puts forward the preliminary view on the application prospect of the information ecology in the big data and artificial intelligence.
Keywords: biology neuron; factor neuron (FN); factor neuron network (FNN) biology neuron; factor neuron (FN); factor neuron network (FNN)
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Qu, G.; He, H.; Wang, P.; Li, Y. Factor Neural Network and Information Ecology. Proceedings 2017, 1, 135.

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