Cargando…
Supervised learning from human performance at the computationally hard problem of optimal traffic signal control on a network of junctions
Optimal switching of traffic lights on a network of junctions is a computationally intractable problem. In this research, road traffic networks containing signallized junctions are simulated. A computer game interface is used to enable a human ‘player’ to control the traffic light settings on the ju...
Autor principal: | Box, Simon |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society Publishing
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4448775/ https://www.ncbi.nlm.nih.gov/pubmed/26064570 http://dx.doi.org/10.1098/rsos.140211 |
Ejemplares similares
-
Supervised Learning with Complex-valued Neural Networks
por: Suresh, Sundaram, et al.
Publicado: (2013) -
Evolutionary computation for dynamic optimization problems
por: Yang, Shengxiang, et al.
Publicado: (2013) -
Synthesis, inverse problems and optimization in computational electromagnetic
por: Russenschuck, Stephan
Publicado: (1996) -
Advances in bio-inspired computing for combinatorial optimization problems
por: Pintea, Camelia-Mihaela
Publicado: (2013) -
Computationally intelligent hybrid systems: the fusion of soft computing and hard computing
por: Ovaska, Seppo J
Publicado: (2005)