Modelling of shear behaviour of residual soils is difficult in that there is a significant variability in constituents and structures of the soil. A Recurrent Neural Network (RNN) is developed for modelling shear behaviour of the residual soil. The RNN model appears very effective in modelling compl
Matching of broken random samples with a recurrent neural network
✍ Scribed by Rudolf Frühwirth
- Publisher
- Elsevier Science
- Year
- 1995
- Tongue
- English
- Weight
- 538 KB
- Volume
- 356
- Category
- Article
- ISSN
- 0168-9002
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