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Definite Neural Modeling Method for Time-varying Large Delay System
- Source :
- 2005 International Conference on Neural Networks and Brain.
- Publication Year :
- 2006
- Publisher :
- IEEE, 2006.
-
Abstract
- A modeling method based on neuron and RBF neural network for time-varying delay system is presented. Neuron is applied to identify the delay of system; RBF neural network is used to identify other time-varying parameters, for delay has been separated from other parameters, so the structure of RBF neural network is simple, and the training of RBF neural network is quickly. These two neural methods is serial, and training with the same cost function. Because the training time is short, this method can be used in on-line identification of nonlinear delay system
- Subjects :
- Identification (information)
Nonlinear system
Probabilistic neural network
ComputingMethodologies_PATTERNRECOGNITION
Quantitative Biology::Neurons and Cognition
Artificial neural network
Computer Science::Computational Engineering, Finance, and Science
Control theory
Computer science
Time delay neural network
Computer Science::Neural and Evolutionary Computation
Training time
Function (mathematics)
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2005 International Conference on Neural Networks and Brain
- Accession number :
- edsair.doi...........140dbf5f194e7bbf99498594054b34ec