Nonlinear modeling with confidence estimation using Bayesian neural networks
There is a growing interest in the use of neural networks in civil engineering to model complicated nonlinearity problems. A recent enhancement to the conventional back-propagation neural network algorithm is the adoption of a Bayesian inference procedure that provides good generalization and a sta...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Electronic Journals for Science and Engineering - International
2004-01-01
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| Series: | Electronic Journal of Structural Engineering |
| Subjects: | |
| Online Access: | http://10.0.0.97/EJSE/article/view/45 |