Artificial Intelligence and Mathematical Methods in Pavement and Geomechanical Systems

Proceedings of the international symposium, Miami, Florida, USA, 5-6 November 1998
1. Auflage 1998
ISBN: 978-90-5809-028-7
Verlag: A A Balkema Publishers

Buch, Englisch, 204 Seiten, Format (B × H): 183 mm x 263 mm, Gewicht: 526 g

The book covers a wide range of Artificial Intelligence (AI) and Mathematical Methods issues, research and applications in the area of pavement, geomechanical and few examples on geo-environmental systems: Application of Artificial Neural Networks; Data mining applications; Stochastic Finite Element; Fuzzy Set Theory; Artificial Immune Systems; Probabilistic Reasoning; System Identification Techniques; Image Processing. This collection of papers provides researchers and engineers with a current comprehensive look at available and emerging AI and Mathematical Methods within pavement and geomechanical systems.

Autoren/Hrsg.

Attoh-Okine, Nii O.

Fachgebiete

• Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Numerische Mathematik
• Technische Wissenschaften Maschinenbau | Werkstoffkunde Maschinenbau
• Technische Wissenschaften Bauingenieurwesen Bauingenieurwesen
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz

Inhaltsverzeichnis

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.

Über Autor(innen)

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