Artificial Intelligence and Mathematical Methods in Pavement and Geomechanical Systems

Nii O. Attoh-Okine, Florida International University, Miami, Florida, USA.

• Preface/Forward, Uses of artificial neural networks in the mechanistic-empirical design of flexible pavements, Evaluation of artificial neural networks for project selection, Application of neural networks to modeling thick asphalt pavement Performance, Representation of a function with three variables by using neural networks, A neural network model for a cohesionless soil, On the use of BPNN in liquefaction potential assessment tasks, A system of neural networks for deriving soil parameters from in-situ tests, Artificial immune systems and networks for pavement deterioration process, Implications of using higher order stochastic finite element analysis for pavement deflections, Data mining and analysis for landslide risk using neural networks, Evaluation of rule-type knowledge extracted by rough set theory from diagnostic cases of slope-failure danger levels, Data warehousing and decision making in construction organizations, Probabilistic graphical networks in pavement management decision making, A fuzzy logic based methodology to compare the level of security in public transportation agencies, Identification of landfill settlement characteristics by frizzy analysis, of interactive systems dynamics, Predicting the performance of surfactant-enhanced subsurface remediation, Modeling of building performance with self learning systems for estimating wind damage, Characterization of microscopic oil-polyectrolyte interactions during coagulation by image processing, System identification – Tutorial, Author index.