Piotr Bera
Czasopismo Techniczne, Mechanika Zeszyt 1-M (4) 2014, 2014, s. 95 - 104
https://doi.org/10.4467/2353737XCT.14.052.2502This article presents a proposal for applying neural networks to control road traffic. The proposed solution makes it possible to determine durations of traffic signals at intersections so that the waiting time for transit is as short as possible. The variability of traffic intensity on all access roads and between analysed intersections was taken into account. The developed concept was compared with a method of determining the durations of lights based on the coefficient of intersection readiness, and the feasibility for practical applications of the method was assessed.
Piotr Bera
Czasopismo Techniczne, Mechanika Zeszyt 1-M (4) 2014, 2014, s. 3 - 10
https://doi.org/10.4467/2353737XCT.14.043.2493This article presents a process of developing operational reliability based on damage occurring during operation. A programme operating on the basis of the artificial neural network method was used to determine the probability of damage to selected engine elements. The results calculated in this way may serve as feedback information for the design process, enabling continuous improvement in the quality of the product, i.e. the automobile combustion engine. Factors taken into consideration during artificial neural network construction, the number of inputs and outputs resulting from the number of variables, and the learning algorithm were described.