Početna » Sinteza 2017 - International Scientific Conference on Information Technology and Data Related Research » Information Security
- Data Science
- Information Security
- Internet and Development Perspectives
- Advanced Computing and Cloud Computing
- Information Technology in Education
- Advanced Engineering Systems
- Electronic Communications and Digital Broadcasting Systems
- E-Commerce Systems
- Software and Information Engineering
- Modern Technologies in Language Teaching
- Abstract Section
Robustness of Two-Layered Feedforward Neural Network
Abstract:
In this paper a two-layer feedforward network is studied, a network that stores an association between two sequences in the two layers. Our work shows that neuronal sequences in one area can robustly trigger sequences in the second area if the association between the sequences is stored in the network. A more detailed incorporation into the biological aspects of neural network in the network dynamics may help to improve neutral networks in engineering applications.
CITATION:
IEEE format
M. Sarevska, “Robustness of Two-Layered Feedforward Neural Network,” in Sinteza 2017 - International Scientific Conference on Information Technology and Data Related Research, Belgrade, Singidunum University, Serbia, 2017, pp. 50-54. doi:10.15308/Sinteza-2017-50-54
APA format
Sarevska, M. (2017). Robustness of Two-Layered Feedforward Neural Network. Paper presented at Sinteza 2017 - International Scientific Conference on Information Technology and Data Related Research. doi:10.15308/Sinteza-2017-50-54
BibTeX format
Download
RefWorks Tagged format
Download
