This book analyses the feasibility and the practicality of a
structural damage detection system for bridges using artificial
intelligence. The artificial intelligence used is known as an
Artificial Neural Network, a computer program loosely based on the
design of the human brain and known for its learning capability.
Several damage cases are analysis and tested to train the Neural
Network after which, given a set of inputs, it has the capability
of predicting the state and location of the damage in a bridge
deck. This book represents a perfect introduction to the basic
theory and practicality of using Neural Networks in engineering
applications. It furthers this concept by applying the mathematical
theory into a feasible and practical tool for practicing engineers.
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