T-S Neural Network Model Identification of Ultra-Supercritical Units for Superheater Based on Improved FCM
نویسنده
چکیده
The study constructs the T-S neural network model for the superheater with multiple inputs and single output and presents an improved FCM algorithm aiming to solve the inputs’ space division problem. The function parameters of the Gaussian membership are obtained to identify the model structure and the recursive least squares method is adopted to identify model parameters. Simulations results show that the improved method has good performance in model identification and the identified models have preferable accuracy and generalization ability.
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