In this work we use the continuous Hopfield network and the continuous bidirectional associative memory system (BAM) in order to develop two novel methodsJbr structural analysis. The development of these techniques is based on the analogous relationship that results J?om comparing the eneryy functio
A novel application of artificial neural networks to structural analysis
โ Scribed by Lou Kang-Ning; Ronald A. Perez
- Publisher
- Elsevier Science
- Year
- 1995
- Tongue
- English
- Weight
- 859 KB
- Volume
- 9
- Category
- Article
- ISSN
- 0954-1810
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
A neural network with two hidden layers is developed to forecast typhoon rainfall. First, the model configuration is evaluated using eight typhoon characteristics. The forecasts for two typhoons based on only the typhoon characteristics are capable of showing the trend of rainfall when a typhoon is
This article describes how artificial neural networks (ANNs) can be used to benefit a number of RF and microwave measurement areas including vector network analysis (VNA). We apply ANNs to model a variety of on-wafer and coaxial VNA calibrations, including open-short-load-thru (OSLT) and line-reflec