All Outputs (3)

A novel non-iterative parameter estimation method for interval type-2 fuzzy neural networks based on a dynamic cost function (2019)
Conference Proceeding

Non-iterative methods for parameter estimation for interval type-2 neuro-fuzzy structure are fast to implement, when compared to online methods, and need no –or a few– parameters to be tuned. In this paper, a novel dynamic cost function, which define... Read More about A novel non-iterative parameter estimation method for interval type-2 fuzzy neural networks based on a dynamic cost function.

Ensemble of Deep Belief Network and Bayesian Adaptive Aggregation for Regression (2019)
Conference Proceeding

Ensemble modeling of Neural Networks is a strategy where multiple alternative models (ensemble members) are constructed and then their forecasts are ensembled using various combination approaches. Ensemble of Neural Networks has proved the concept be... Read More about Ensemble of Deep Belief Network and Bayesian Adaptive Aggregation for Regression.

Nonlinear System Identification Using Type-2 Fuzzy Recurrent Wavelet Neural Network (2019)
Conference Proceeding

In this paper, the integration of Type-2 fuzzy set theory and recurrent wavelet neural network(WNN) is proposed to allow managing of non-uniform uncertainties for identifying non-linear dynamic system. The proposed Type-2 fuzzy WNN is inherently a re... Read More about Nonlinear System Identification Using Type-2 Fuzzy Recurrent Wavelet Neural Network.