Use of Artificial Neural Networks in Geomechanical and Pavement Systems.

摘要

Over the past 2 decades, there has been an increased interest in a new class of computational intelligence systems known as artificial neural networks (ANNs). This type of networks (i.e., ANNs) have been found to be powerful and versatile computational tools for organizing and correlating information in ways that have proved useful for solving certain types of problems too complex, too poorly understood, or too resource-intensive to tackle using more-traditional computational methods. ANNs have been successfully used for many tasks including pattern recognition, function approximation, optimization, forecasting, data retrieval, and automatic control. This circular provides an introduction to ANNs and their applications in the design and analysis of geomechanical and pavement systems. As ANNs can be a useful complement to more-traditional numerical and statistical methods, their use merits continued investigation.