Artificial neural network techniques for the estimation of thick-film resistance
β Scribed by B.G. Hoskins; M.R. Haskard
- Publisher
- Elsevier Science
- Year
- 1995
- Tongue
- English
- Weight
- 508 KB
- Volume
- 26
- Category
- Article
- ISSN
- 0026-2692
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
## Abstract A method based on artificial neural networks (ANNs) for calculating the input resistance of circular microstrip patch antennas is presented. The LevenbergβMarquardt algorithm is used to train the networks. The theoretical input resistance results obtained by using this method are in ver
## Abstract The mathematical formulation of empirically developed formulas for the calculation of the resonant frequency of a thickβsubstrate (h β₯ 0.08151Ξ»~0~) microstrip antenna has been analyzed. With the use of tunnelβbased artificial neural networks (ANNs), the resonant frequency of antennas wi
This paper addresses the development of a novel condition monitoring procedure for rolling element bearings which involves a combination of signal processing, signal analysis and artificial intelligence methods. Seven approaches based on power spectrum, bispectral and bicoherence vibration analyses