Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Changgeng Xi"'
Publikováno v:
International Journal of RF & Microwave Computer-Aided Engineering. Jan2002, Vol. 12 Issue 1, p109-124. 16p. 3 Diagrams, 6 Charts, 4 Graphs.
Publikováno v:
International Journal of RF and Microwave Computer-Aided Engineering. 12:109-124
Neural networks recently gained attention as a fast and flexible vehicle to microwave modeling and design. Neural network models can be developed by learning from microwave data, through a process called training. The trained models can be used durin
Publikováno v:
International Journal of RF and Microwave Computer-Aided Engineering. 9:216-240
Neural networks recently gained attention as fast and flexible vehicles to microwave modeling, simulation, and optimization. After learning and abstracting from microwave data, through a process called training, neural network models are used during
Publikováno v:
Case Studies in Thermal Engineering, Vol 30, Iss , Pp 101734- (2022)
A multi-group full-spectrum k-distribution (MG-FSK) look-up table has been constructed for gas mixtures within a large range of thermodynamic states for two species, i.e., CO2 and H2O. The multi-group k-distribution of a mixture is assembled directly
Externí odkaz:
https://doaj.org/article/696a1db9cb8b4dc1b869a7a77b4d6217
Publikováno v:
IJCNN
Neural networks as an emerging modeling technique have gained much attention in the microwave area. Due to the convergence difficulty of simulators or equipment limits where parameters are sampled at extremes, the simulated or measured training data
Publikováno v:
IEEE APCCAS 2000. 2000 IEEE Asia-Pacific Conference on Circuits and Systems. Electronic Communication Systems. (Cat. No.00EX394).
Neural networks recently gained attention as a fast and flexible vehicle to microwave modeling and design. In this paper, we propose an iterative multi-stage (IMS) algorithm to address certain key challenges in neural network based microwave modeling
Publikováno v:
28th European Microwave Conference, 1998.
Artificial neural networks have gained attention as a fast, efficient, flexible and accurate tool in the areas of microwave modeling, simulation and optimization. In this paper, a novel neural network approach is proposed for the modeling of Heteroju
Publikováno v:
IEEE APCCAS 2000. 2000 IEEE Asia-Pacific Conference on Circuits & Systems. Electronic Communication Systems. (Cat. No.00EX394); 2000, p327-330, 4p
Publikováno v:
International Journal of RF & Microwave Computer-Aided Engineering; May1999, Vol. 9 Issue 3, p216-240, 25p, 5 Diagrams, 5 Charts, 2 Graphs