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What is Dynamic System Modeling & Simulation about?
The document summarizes two problems involving modeling and simulating dynamic systems using neural networks. Problem 1 uses a multilayer perceptron with 1 hidden layer of 20 neurons to model a system, achieving a mean squared error of 0.664386 after 1200 epochs. Problem 2 uses a radial basis function network with 10 hidden neurons and 2 outputs to model another system, achieving a mean squared error of 0.00437211 after 1200 epochs. The initial and updated center points for the 10 radial basis functions are
- Author
- VinaykumarJatoth
- Language
- EN