Prediction of soil temperature by using artificial neural networks algorithms
โ Scribed by Raju K. George
- Publisher
- Elsevier Science
- Year
- 2001
- Tongue
- English
- Weight
- 412 KB
- Volume
- 47
- Category
- Article
- ISSN
- 0362-546X
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
This study presents an approach using artificial neural networks (ANN) algorithm for predicting the flutter derivatives of rectangular section models without wind tunnel tests. Firstly, a database of flutter derivatives is identified from a back-propagation (BP) ANN model that is built using experim
A three-layer neural network model with a hidden recurrent layer is used to predict sulphur dioxide concentration and the predicted values are compared with the measured concentrations at three sites in Delhi. The Levenberg-Marquardt algorithm is used to train the network. The neural network is used