Bridge Safety Assessment Based on Complex System Theory and Nonlinear Time Series

Nonlinear Time Series , Complexity Theory

We would like to thank Michelle Barnes, Craig Hiemstra and Blake LeBaron for their helpful comments. The usual disclaimer applies.

Nonlinear Time Series Complexity Theory and Finance

Nonlinear Time Series Prediction Based on Lyapunov Theory-Based Fuzzy Neural Network and Multiobjective Genetic Algorithm

This paper presents the nonlinear time series prediction using Lyapunov theory-based fuzzy neural network and multi-objective genetic algorithm (MOGA). The architecture employs fuzzy neural network (FNN) structure and the tuning of the parameters of FNN using the combination of the MOGA and the modified Lyapunov theory-based adaptive filtering algorithm (LAF). The proposed scheme has been used ...

Asymptotic Spectral Theory for Nonlinear Time Series

We consider asymptotic problems in spectral analysis of stationary causal processes. Limiting distributions of periodograms and smoothed periodogram spectral density estimates are obtained and applications to the spectral domain bootstrap are given. Instead of the commonly used strong mixing conditions, in our asymptotic spectral theory we impose conditions only involving (conditional) moments,...

An intelligent decision support system for bridge safety assessment based on Data Mining models

Bridges are one of the primary infrastructures in our society. During the life cycle of a bridge structure, the service conditions should be evaluated on a regular basis in order to assure the necessary levels of strength and durability. Taking into account (i) the social-economic importance of bridges’ use, (ii) the necessary safety assurance and (iii) the high costs of any physical interventi...