An alternative approach for modelling and simulation of traffic data: artificial neural networks

2004 ◽  
Vol 12 (5) ◽  
pp. 351-362 ◽  
Author(s):  
S.Figen Kalyoncuoglu ◽  
Mesut Tigdemir
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Modelling And Simulation ◽  
Traffic Data ◽  
Alternative Approach ◽  
Artificial Neural

Artificial neural networks as an alternative approach to groundwater numerical modelling and environmental design

2008 ◽  
Vol 22 (17) ◽  
pp. 3337-3348 ◽  
Author(s):  
Ioannis K. Nikolos ◽  
Maria Stergiadi ◽  
Maria P. Papadopoulou ◽  
George P. Karatzas
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Numerical Modelling ◽  
Environmental Design ◽  
Alternative Approach ◽  
Artificial Neural

scholarly journals Modelling and simulation of artificial neural networks using software SIMBRAIN

2021 ◽  
Vol 7 ◽  
pp. 71-81
Author(s):  
Yoana Ivanova
Keyword(s):  
Neural Networks ◽  
Decision Making ◽  
Pattern Recognition ◽  
Artificial Neural Networks ◽  
Morphological Analysis ◽  
Critical Infrastructure ◽  
Modelling And Simulation ◽  
Advanced Technology ◽  
Artificial Neural ◽  
And Robotics

This paper is considered to be a continuation of a previous publication devoted to tendencies in the applications of advanced technology solutions to strengthen the cybersecurity of critical infrastructure (Yearbook Telecommunications, vol. 6, 2019). The specificity of the research is related to tracing the evolution of artificial neural networks (ANN) from their establishment to their modelling and simulation. The theoretical framework involves a well-supported rationale by some practical examples of advanced methods of design and simulation of ANN using SIMBRAIN. These methods are applicable in Cognitive science and Robotics because of their contribution to scientific researches related to study of perceptions and behaviors, abilities of decision making, pattern recognition and morphological analysis and etc.

scholarly journals Artificial Neural Networks in Cardiology: Analysis of Numerical and Text Data

2020 ◽  
Vol 15 (1) ◽  
pp. 40-56
Author(s):  
P.S. Onishchenko ◽  
K.Y. Klyshnikov ◽  
E.A. Ovcharenko
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Text Data ◽  
Data Application ◽  
Alternative Approach ◽  
Textual Data ◽  
Artificial Neural ◽  
Prediction Systems ◽  
Network Technologies ◽  
Attending Physician

This review discusses works on the use of artificial neural networks for processing numerical and textual data. Application of a number of widely used approaches is considered, such as decision support systems; prediction systems, providing forecasts of outcomes of various methods of treatment of cardiovascular diseases, and risk assessment systems. The possibility of using artificial neural networks as an alternative approach to standard methods for processing patient clinical data has been shown. The use of neural network technologies in the creation of automated assistants to the attending physician will make it possible to provide medical services better and more efficiently.

Sign in / Sign up

Export Citation Format

Share Document