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Prediction of Induced Stresses within Soil Mass Using Artificial Neural Network | ||
| Journal of Engineering | ||
| Article 1, Volume 14, Issue 4, 2008, Pages 3179-3197 | ||
| Author | ||
| Abdul Kareem Esmat | ||
| Abstract | ||
| In this paper, an Artificial Neural Network (ANN) is applied to predict the soil stress within a soil mass for a variety of depths and displacements under applied loading. The neural network model is created and applied for two cases, point load, and Uniform rectangular load. Theses two cases were selected among many other cases of loading as a representation of the capabilities of ANN in finding proper solutions. The first case needs one input to get one output, where in the second case we need two inputs, to get one output only. Results revealed that function approximation using neural network can be applied easily and can give accurate results by choosing the appropriate learning algorithm, number of layers, and number of neurons to solve the problem. ANN model can provide reasonable accuracy for civil engineering problems, and a more effective tool for engineering applications. | ||
| Keywords | ||
| Artificial Neural Network; Artificial intelligence; civil engineering; stresses within soil mass; function approximation | ||
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