A Dynamic Surrogate Model Technique for Power Systems Modeling and Simulation
暂无分享,去创建一个
[1] Daniel Atkins,et al. Revolutionizing Science and Engineering Through Cyberinfrastructure: Report of the National Science Foundation Blue-Ribbon Advisory Panel on Cyberinfrastructure , 2003 .
[2] Udo Seiffert,et al. Training of Large-Scale Feed-Forward Neural Networks , 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.
[3] Dimitri N. Mavris,et al. A Stochastic Approach to Multi-disciplinary Aircraft Analysis and Design , 1998 .
[4] Danilo P. Mandic,et al. Recurrent Neural Networks for Prediction: Learning Algorithms, Architectures and Stability , 2001 .
[5] I. Yoo,et al. An Engine Coolant Temperature Model and Application for Cooling System Diagnosis , 2000 .
[6] Aaron J. Owens. Empirical modeling of very large data sets using neural networks , 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium.
[7] Suh Nam-pyo,et al. Complexity: Theory and Applications , 2005 .
[8] F. Takens. Detecting strange attractors in turbulence , 1981 .
[9] Richard Bellman,et al. Adaptive Control Processes: A Guided Tour , 1961, The Mathematical Gazette.
[10] Danilo P. Mandic,et al. Recurrent Neural Networks for Prediction: Learning Algorithms, Architectures and Stability , 2001 .
[11] D.N. Mavris,et al. Strategies for Integrating Models of Interdependent Subsystems of Complex System-Of-Systems Products , 2006, 2006 Proceeding of the Thirty-Eighth Southeastern Symposium on System Theory.
[12] P. Gawthrop,et al. Bond-graph modeling , 2007, IEEE Control Systems.
[13] Joey K. Parker,et al. A new simplified mathematical model for a switched reluctance motor in a variable speed pumping application , 2004 .
[14] Fu-Sheng Tsung,et al. Modeling dynamical systems with recurrent neural networks , 1994 .
[15] P. Kundur,et al. Power system stability and control , 1994 .
[16] Sandhya Samarasinghe,et al. Neural Networks for Applied Sciences and Engineering: From Fundamentals to Complex Pattern Recognition , 2006 .
[17] J. Sola,et al. Importance of input data normalization for the application of neural networks to complex industrial problems , 1997 .