Titlebook: Intelligent and Soft Computing in Infrastructure Systems Engineering; Recent Advances Kasthurirangan Gopalakrishnan,Halil Ceylan,Nii O. Bo

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媒介

Probabilistic Inversion: A New Approach to Inversion Problems in Pavement and Geomechanical Enginee data related to the performance of a system is known, and the characteristics of the system that generated the observed data are sought. There are two general approaches to the solution of inverse problems: deterministic and probabilistic. Traditionally, inverse problems in pavement and geomechanic

GLOSS

Reverie

AVOW

Knowledge Discovery and Data Mining Using Artificial Intelligence to Unravel Porous Asphalt Concretavior of them and via this understanding improve pavement quality and enhance its lifespan. The knowledge discovery process includes five steps, being understanding the problem, understanding the data, data preparation, data mining (modeling), and the interpretation/evaluation of the results of the

somnambulism

Backcalculation of Pavement Layer Thickness and Moduli Using Adaptive Neuro-fuzzy Inference System, monitoring activity performed by most highway agencies is the collection and analysis of deflection data. Pavement deflection data are often used to evaluate a pavement’s structural condition non-destructively. It is essential not only to evaluate the structural integrity of an existing pavement bu

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BOGUS

SPURN

防水

Regression and Artificial Neural Network Modeling of Resilient Modulus of Subgrade Soils for Pavemedels that could be used to estimate resilient modulus (M.) from commonly used subgrade soil properties in Oklahoma. Sixty-three soil samples from 14 different sites throughout Oklahoma are collected and tested for the development of the database and models. Additionally, thirty-four soil samples fro