Name
Abstract | ||
|---|---|---|
It is of great significance how to identify car licence rapidly and accurately in the modern urban traffic management system. Hopfield NN is a feedback network with association function. It can figure out the weight of network according to some rules and update every nerve cell's state constantly in curse of the network evolvement. This paper presents a method identifying noise of vehicle license plate with dispersed Hopfield NN programming calculating and simulating in MATLAB and that validating the method correct. It provides a new fast and effective method for the vehicle licence identification. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/GrC.2010.126 | GrC |
Keywords | DocType | ISBN |
neural network,road vehicles,hopfield neural nets,car licence,hopfield nn,vehicle license plate,matlab,recognition,traffic engineering computing,character recognition,great significance,modern urban traffic management,feedback network,vehicle licence identification,road traffic,nerve cell state,association function,urban traffic management system,network evolvement,vehicle license plate recognition,effective method,noise,artificial neural networks,mathematical model,traffic management | Conference | 978-1-4244-7964-1 |
Citations | PageRank | References |
1 | 0.45 | 1 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xing-Wang Zhang | 1 | 1 | 0.45 |
| Xian-gui Liu | 2 | 1 | 0.78 |
| Jia Zhao | 3 | 13 | 2.43 |