Welcome to the new version of CaltechAUTHORS. Login is currently restricted to library staff. If you notice any issues, please email coda@library.caltech.edu
Published May 2015 | public
Journal Article

Introduction

Abstract

Computational Intelligence (CI) is a broad group of computational methods that have their origin in artificial intelligence and are often based on mimicking natural systems or processes such as biological neural networks, evolution, swarming of social organisms, and human cognitive processes. They include algorithms in machine learning (e.g., artificial neural networks, Bayesian networks, and support vector machines), fuzzy modeling (e.g., fuzzy logic, fuzzy sets), stochastic modeling, evolutionary computation (e.g., genetic algorithms), and other optimization algorithms such as simulated annealing, ant colony and particle swarm methods. CI methods have received much attention across all engineering disciplines in recent years. In structural engineering and mechanics, they have been applied for response predictions, system identification, robust optimization and robust design, structural health monitoring, structural control, and other tasks.

Additional Information

© 2015 Computer-Aided Civil and Infrastructure Engineering.

Additional details

Created:
August 20, 2023
Modified:
October 23, 2023