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The Use of Artificial Neural Networks to Assess the Capacity of Transport Measures
- Source :
- Selected Scientific Papers: Journal of Civil Engineering, Vol 10, Iss 1, Pp 47-56 (2015)
- Publication Year :
- 2015
- Publisher :
- Walter de Gruyter GmbH, 2015.
-
Abstract
- In the area of logistics management both managers and engineers rely primarily on proven computational algorithms, for this reason, it is often difficult to convince them to the use of artificial neural networks in solving decision problems. The paper presents the possibilities of using the FANN library in building of a computer application applied in the area of logistics. The possibilities of the component are presented on the example of applications of artificial neural networks to estimate the capacity of transport vehicles based on their dimensions. The example presented in the work was solved with the use of a multi-network Layered Perceptron. The example depicted not only the possibility of using artificial neural networks for solving poorly structured tasks but also practical application of the TFannNetwork component
- Subjects :
- Artificial neural network
logistics
business.industry
Computer science
Computer Science::Neural and Evolutionary Computation
Computer programming
Engineering (General). Civil engineering (General)
Machine learning
computer.software_genre
computer programming
transport
Artificial intelligence
TA1-2040
business
artificial neural networks
computer
Subjects
Details
- ISSN :
- 13387278
- Volume :
- 10
- Database :
- OpenAIRE
- Journal :
- Selected Scientific Papers - Journal of Civil Engineering
- Accession number :
- edsair.doi.dedup.....9e19a4daeb72014b21470a6377266d72