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RISQuantity Estimating of Building with Logarithm-Neuron Networks
Publisher: American Society of Civil Engineers
Abstract: Cost estimating is a computational process that attempts to predict the final cost of a future project even though not all of the parameters are known when the cost estimate is prepared. Artificial neural networks are a ...
Modeling Concrete Strength with Augment-Neuron Networks
Publisher: American Society of Civil Engineers
Abstract: In this paper, a novel neural network architecture, augment-neuron network, is proposed and examined for its efficiency and accuracy in modeling concrete strength with seven factors (water/cement ratio, water, cement, fine ...
Analysis of Strength of Concrete Using Design of Experiments and Neural Networks
Publisher: American Society of Civil Engineers
Abstract: This paper investigates the potential of using design of experiments and neural networks to determine the effect of fly ash replacements, from 0 to 50%, on early and late compressive strength, from 3 to
Construction-Site Layout Using Annealed Neural Network
Publisher: American Society of Civil Engineers
Abstract: Construction-site layout is an important construction planning activity. The impact of good layout practices on money and timesaving becomes more obvious on larger construction projects. In this study, we formulate the ...
Design of High-Performance Concrete Mixture Using Neural Networks and Nonlinear Programming
Publisher: American Society of Civil Engineers
Abstract: A method of optimizing high-performance concrete mix proportioning for a given workability and compressive strength using artificial neural networks and nonlinear programming is described. The basic procedure of the ...
Exploring Concrete Slump Model Using Artificial Neural Networks
Publisher: American Society of Civil Engineers
Abstract: Fly ash and slag concrete (FSC) is a highly complex material whose behavior is difficult to model. This paper describes a method of modeling slump of FSC using artificial neural networks. The slump is a function of the ...
Building Valuation Model of Enterprise Values for Construction Enterprise with Quantile Neural Networks
Publisher: American Society of Civil Engineers
Abstract: This paper aims to overcome the drawbacks of current business valuation models. The authors have developed a novel model, a growth value model, by employing the income-asset-hybrid-based approach and with the application ...
Improvement in Estimating Durations for Building Projects Using Artificial Neural Network and Sensitivity Analysis
Publisher: ASCE
Abstract: The duration of a construction project is a key factor to consider before starting a new project. It needs to be accurately estimated from an early stage. Many researchers demonstrated the applicability of regression ...
Virtual Reality Learning System for Digital Terrain Model Surveying Practice
Publisher: American Society of Civil Engineers
Abstract: This research builds a virtual reality learning system for the digital terrain model surveying practice based on the triangular irregular network (TIN). The proposed system offers students an interactive, individual, ...