Modelling Slope Stability with Artificial Neural Network
Ramesh Aziz
Corresponding
Universiti Teknologi Malaysia
Abstract
Rapid urbanisation and industrial expansion have made slope stability an increasingly important concern for industrial automation. Both steady-state and transient operating conditions in industrial automation were analysed in detail using artificial neural network. The best results were obtained when the design variable was set to 9 units. The approach shows considerable promise for large-scale deployment with only modest modification of existing infrastructure.
Keywords:
slope stabilityartificial neural networkheat exchangeroptimizationmodel predictive control
References
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