1. A class of neuro-fuzzy models based the modeling techniques and applications are studied to complex nonlinear dynamical systems. 研究和总结了基于一类神经模糊模型在非线性动态系统建模技术和应用。更多例句>> 2) neuro-fuzzy model 神经-模糊模型...
Model identification of nonlinear time varying dynamic systems is challenging because the system behaviours may vary significantly in different operational
Using this model and combine it with optimal control theory, an optimal semi-active control strategy is then proposed. Numerical simulations are also given to illustrate the effectiveness of the proposed method in structural vibration control.G. Yan...
In contrast to established aerodynamic input/output model approaches trained by high-fidelity flow simulations, the Mach number is considered as an additional model input to account for varying freestream conditions. To train the relationship between the input parameters and the corresponding flow-...
Various types of membership functions (MFs) such as Gaussian, Gaussian combination, generalised bell-shaped, triangular-shaped and trapezoidal-shaped MFs are evaluated for varying number of MFs to obtain the optimum NF model. The accuracy of the proposed NF model is compared with accuracies of ...
Simplifying a neuro-fuzzy model作者:G. Castellano, A. M. Fanelli 摘要 Neuro-fuzzy modeling allows a fuzzy system to be refined by neural training, thus avoiding lenghty trial-and-error phases in defining both membership functions and inference rules. An approach to obtain simple neuro-fuzzy ...
Each generated component by the HP filter is then modeled through an LLNF model. Starting from an optimal least square estimation, the local linear model tree (LOLIMOT) learning algorithm increases the complexity of the LLNF model as long as its performance is improved. The proposed HPLLNF ...
(AI) technique to develop a model for minimizing investigation time and the number of deployed security operatives towards achieving a high success rate in the prediction, detection and recovery of stolen vehicles. A collection of vehicle theft and recovery data for (6) six consecutive years with...
The ANFIS-GP model for the RTO was implemented as a Matlab Script file, and a solution was generated. The test history from a previous run of the test suite was selected as the input to the model for training, and we generated the optimized test suite. The flow of Matlab Script file ...
The analysis checks whether the refactored model preserves the essential behavior of changed operations Factory design pattern is used in the paper to illustrate the approach. Keywords:Behavioral refactoring, UML/OCL, Alloy 1 展开 年份: 2013