Prediction of Pavement Performance through Neuro-Fuzzy Reasoning

Computer-Aided Civil and Infrastructure Engineering - Tập 25 Số 1 - Trang 39-54 - 2010
Alessandra Bianchini1, Paola Bandini1
1Civil Engineering Department, New Mexico State University, P.O. Box 30001, MSC 3CE, Las Cruces, New Mexico 88003‐8001, USA

Tóm tắt

Từ khóa


Tài liệu tham khảo

AASHTO (American Association of State Highway and Transportation Officials), 1993, AASHTO Guide for Design of Pavement Structures

Adeli, 1993a, A fuzzy neural network learning model for image recognition, Integrated Computer-Aided Engineering, 1, 43, 10.3233/ICA-1993-1104

Adeli, 1993b, A concurrent adaptive conjugate gradient learning algorithm on MIMD machines, Journal of Supercomputer Applications, 7, 155, 10.1177/109434209300700206

Adeli, 1994, An adaptive conjugate gradient learning algorithm for effective training of multilayer neural networks, Applied Mathematics and Computation, 62, 81, 10.1016/0096-3003(94)90134-1

Adeli, 2003, Neuro-fuzzy logic model for freeway work zone capacity estimation, Journal of Transportation Engineering, 129, 484, 10.1061/(ASCE)0733-947X(2003)129:5(484)

Adeli, 2006, Dynamic fuzzy wavelet neural network model for structural system identification, Journal of Structural Engineering, 132, 102, 10.1061/(ASCE)0733-9445(2006)132:1(102)

Adeli, 2000, Fuzzy-Wavelet RBFNN model for freeway incident detection, Journal of Transportation Engineering, 126, 464, 10.1061/(ASCE)0733-947X(2000)126:6(464)

Adeli, 1995, Counter propagation neural network in structural engineering, Journal of Structural Engineering, 121, 1205, 10.1061/(ASCE)0733-9445(1995)121:8(1205)

Balasko, 2002, Fuzzy Clustering and Data Analysis Toolbox

Bianchini , A. 2007 Prediction of pavement performance through neuro-fuzzy reasoning Ph.D. dissertation New Mexico State University

Butt, 1992, Transportation Research Record 1123, 12

Cammarata, 1997, Reti Neuronali—Dal Perceptron alle Reti Caotiche e Neuro-Fuzzy

Carden, 2008, Fuzzy clustering of stability diagrams for vibration-based structural health monitoring, Computer-Aided Civil and Infrastructure Engineering, 23, 360, 10.1111/j.1467-8667.2008.00543.x

Carey , W. Irick , P. 1960 The pavement serviceability performance concept Highway Research Board Record Bulletin 250

Carey, 1962, The Pavement Serviceability Performance Concept

Chadbourn, 2001, Reliability, Damage, and Seasonal Considerations in the Mnpave Mechanistic-Empirical Asphalt Pavement Design Computer Program

Chao, 2007, Fuzzy logic model for determining minimum bid markup, Computer-Aided Civil and Infrastructure Engineering, 22, 449, 10.1111/j.1467-8667.2007.00500.x

Choi, 2004, Pavement roughness modeling using back-propagation neural networks, Computer-Aided Civil and Infrastructure Engineering, 19, 295, 10.1111/j.1467-8667.2004.00356.x

Delatte, 2000, Concrete Pavement Performance in the Southeastern United States

Dharia, 2003, Neural network model for rapid forecasting of freeway link travel time, Engineering Applications of Artificial Intelligence, 16, 607, 10.1016/j.engappai.2003.09.011

Eldin, 1995, A pavement condition-rating model using backpropagation neural networks, Microcomputers in Civil Engineering, 10, 433, 10.1111/j.1467-8667.1995.tb00303.x

FHWA (U.S. Federal Highway Administration), 2003, Distress Identification Manual for the Long-Term Pavement Performance Program

Funahashi, 1989, On the approximate realization of continuous mapping by neural networks, Neural Networks, 2, 183, 10.1016/0893-6080(89)90003-8

Garg, 1999, Structural response of LVR flexible pavements at MN/road project, Journal of Transportation Engineering, 125, 238, 10.1061/(ASCE)0733-947X(1999)125:3(238)

Hall, 1999, Transportation Research Record 1655, 93

Haykin, 1999, Neural Networks—A Comprehensive Foundation

Hong, 2003, Stochastic modeling of pavement performance, International Journal of Pavement Engineering, 4, 235, 10.1080/10298430410001672246

Hornik, 1989, Multilayer feedforward networks are universal approximators, Neural Networks, 5, 78

Hung, 1993, Parallel backpropagation learning algorithms on Cray Y-MP8/864 Supercomputer, Neurocomputing, 5, 287, 10.1016/0925-2312(93)90042-2

Jiang, 2003, Fuzzy clustering approach for accurate embedding dimension identification in chaotic time series, Integrated Computer-Aided Engineering, 10, 287, 10.3233/ICA-2003-10305

Jiang, 2005, Dynamic wavelet neural network model for traffic flow forecasting, Journal of Transportation Engineering, 131, 771, 10.1061/(ASCE)0733-947X(2005)131:10(771)

Jiang, 2008, Dynamic fuzzy wavelet neuroemulator for nonlinear control of irregular highrise building structures, International Journal for Numerical Methods in Engineering, 74, 1045, 10.1002/nme.2195

Jin, 2009, Modelling risk allocation decision-making in PPP projects using fuzzy logic, Computer-Aided Civil and Infrastructure Engineering, 24, 10.1111/j.1467-8667.2009.00609.x

Karim, 2002, Comparison of the fuzzy-wavelet RBFNN freeway incident detection model with the California algorithm, Journal of Transportation Engineering, 128, 21, 10.1061/(ASCE)0733-947X(2002)128:1(21)

Kasabov, 1998, Foundations of Neural Networks, Fuzzy Systems, and Knowledge Engineering

Klir, 1995, Fuzzy Sets and Fuzzy Logic: Theory and Applications

Li, 1996, Transportation Research Record 1524, 203

Loizos, 2006, Transportation Research Record 1970, 207

Mantegna, 1999, An Introduction to Econophysics: Correlation and Complexity in Finance, 10.1017/CBO9780511755767

MathWorks, Inc, 2007, Statistics Toolbox 6 User's Guide

Mei, 2004, Neural network for rapid depth evaluation of shallow cracks on asphalt pavements, Computer-Aided Civil and Infrastructure Engineering, 19, 223, 10.1111/j.1467-8667.2004.00350.x

Nauck, 1997, Foundations of Neuro-Fuzzy Systems

Nomura, 2007, An integrated fuzzy control system for structural vibrations, Computer-Aided Civil and Infrastructure Engineering, 22, 306, 10.1111/j.1467-8667.2007.00487.x

Ovik, 2000, Characterizing Seasonal Variations in Pavement Material Properties for Use in a Mechanistic-Empirical Design Procedure

Palmquist, 2002, 2002 Mn/Road Hot-Mix Asphalt Mainline Test Cell Condition Report

Park, 2003, Transportation Research Record 1860, 48

Park, 1995, A neural dynamics model for structural optimization—application to plastic design of structures, Computers and Structures, 57, 391, 10.1016/0045-7949(95)00047-K

Poggio, 1990, Networks for approximation and learning, Proceedings of the Institute of Electrical and Electronics Engineers, 78, 1481, 10.1109/5.58326

Provenzano, 2003, A fuzzy neural network method for modeling uncertainties in soil-structure interaction problem, Computer-Aided Civil and Infrastructure Engineering, 18, 391, 10.1111/1467-8667.00326

Prozzi, 2003, Incremental nonlinear model for predicting pavement serviceability, Journal of Transportation Engineering, 129, 635, 10.1061/(ASCE)0733-947X(2003)129:6(635)

Ross, 2004, Fuzzy Logic with Engineering Application

Saltan, 2002, Artificial neural network application for flexible pavement thickness modeling, Turkish Journal of Engineering and Environmental Science, 26, 246

Samant, 2001, Enhancing neural network incident detection algorithms using wavelets, Computer-Aided Civil and Infrastructure Engineering, 16, 239, 10.1111/0885-9507.00229

Sarma, 2000a, Fuzzy genetic algorithm for optimization of steel structures, Journal of Structural Engineering, 126, 596, 10.1061/(ASCE)0733-9445(2000)126:5(596)

Sarma, 2000b, Fuzzy discrete multicriteria cost optimization of steel structures, Journal of Structural Engineering, 126, 1339, 10.1061/(ASCE)0733-9445(2000)126:11(1339)

Sayers, 1998, The Little Book of Profiling

Shahin, 1994, Pavement Management for Airports, Roads and Parking Lots, 10.1007/978-1-4757-2287-1

Sirca, 2001, Neural network model for uplift load capacity of metal roof panels, Journal of Structural Engineering, 127, 1276, 10.1061/(ASCE)0733-9445(2001)127:11(1276)

Stathopoulos, 2008, Fuzzy modeling approach for combined forecasting of urban traffic flow, Computer-Aided Civil and Infrastructure Engineering, 23, 521, 10.1111/j.1467-8667.2008.00558.x

Stehr , R. H. 2004 Guidelines for seasonal load limit starting and ending dates Technical Memorandum No. 04-20-MAT-03 Engineering Services Division, Minnesota Department of Transportation

Takagi, 1991, NN-driven fuzzy reasoning, International Journal of Approximate Reasoning, 5, 191, 10.1016/0888-613X(91)90008-A

Uzan, 1982, Transportation Research Record 888, 61

Van Gurp, 1989, Nondestructive Testing of Pavements and Backcalculation of Moduli, Vol. 2, 589, 10.1520/STP19832S

Vennalaganti, 1994, Nondestructive Testing of Pavements and Backcalculation of Moduli, Vol. 2, 478

Xu, 2002a, Transportation Research Record 1806, 48

Xu, 2002b, Transportation Research Record 1806, 57

Yang, 2006, Transportation Research Record 1974, 18

Zhang, 2003, Transportation Research Record 1827, 10