Artificial Intelligent in Construction Management

National Taiwan University of Science and Technology 10 Artificial Intelligence for Project Management Final Report Instructor: Prof. Rayson Chou Student: Bui Quang Nha : M9705809 Fillip Korsa : E9815001 Table of Contents Abstract 4 1. Introduction 5 1.1. Background 5 1.2. Business needs for pavement life cycle prediction 5 2. Project statement 5 2.1. Problem definition 5 2.2. Project objective 6 3. Data description and preprocessing 8 3.1. Data description 8 3.2. Data preprocessing 9 4. Data mining techniques 12 4.1 Linear Regression 12 4.2 Neural Network 13 4.3 Support Vector Machine 14 4.4 K-fold cross validation 15 4.5 Performance Evaluation 16 5. Analysis Process 17 5.1 Feature selection 17†¦show more content†¦2.4. Project objective In our case we had to re-specify our goals in relation to data we had obtained. Project objectives: * Apply AI techniques to: * Predict pavement characteristics (IRI) * Figure out which factors influence these characteristics significantly * Provide generalized model for following data processing * Compare several prediction models, using different types of prediction approach with real estate of pavement International Roughness Index (IRI) Introduction The international roughness index (IRI) was developed by the World Bank in the 1980s (UMTRI, 1998). IRI is used to define a characteristic of the longitudinal profile of a traveled wheel track and constitutes a standardized roughness measurement. The IRI is based on the average rectified slope (ARS), which is a filtered ratio of a standard vehicles accumulated suspension motion (in mm, inches, etc.) divided by the distance traveled by the vehicle during the measurement (km, mi, etc.). Figure bellow shows the IRI scale. Next picture shows the relation of pavement serviceability related to time and IRI. 2. Data description and preprocessing 3.5. Data description In order to held this project we began cooperation with Road and Motorway Directorate of the Czech Republic who provide us all data sets. Following tables describers more details about our data set. Previews of data sets are shown in APPENDIX 1; APENDIX 2 and APENDIX 3. List ofShow MoreRelatedArtificial Intelligence In Technology1612 Words   |  7 Pages â€Å"The increasing use of artificial intelligence in technology will transform our societies for the worse.† Module: FC-503 Tutor Name: Assessment type: Essay Student Number: T0061516 Word Count: The theme of the 2017 Summer Davos meeting was about the fourth revolution of science and technology and artificial intelligence was undoubtedly one of the main topics discussed by people. 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