Neural Networks in Civil Engineering: 1989–2000

By Hojjat Adeli. 2001

869 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Civil and Structural Engineering

View Paper: https://www.semanticscholar.org/paper/3c03bbe769227332b1ab78ccc42d7ecbe927138d

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In Civil and Structural Engineering

Citations in the corpus

A Novel Machine Learning Model for Estimation of Sale Prices of Real Estate Units (2016, background): “It is well known that BP requires thousands or millions of iterations for convergence depending on the complexity of the problem and cannot model complicated pattern recognition problems effectively in a reasonable amount of computing time (Hung and Adeli 1993, 1994; Adeli and Park 1998; Adeli 2001)”
Short-term traffic forecasting: Where we are and where we’re going (2014, methodology): “Jiang and Adeli (2005) Motorway(U) Volume 60 1 Detectors Univariate TS Hybrid Multiple Wavelets M”
Analyses of internal structures and defects in materials using physics-informed neural networks (2022, neutral): “̃ rN (X; ,  ) = ̃ P(X; ,  ) N(X ) − _ T(X ) , X ∈ ∂  N (  geo ) (9)”
Prediction of self-compacting concrete strength using artificial neural networks (2016, methodology): “…and validation data cover the entire range of input parameter values) is that the results can be produced with much less computational effort (Adeli, 2001; Asteris & Plevris, 2013, in press; Asteris et al., 2016; Giovanis & Papadopoulos, 2015, Hornik, Stinchcombe, & White, 1989; Mansouri,…”
Optimization Methods for Supervised Machine Learning: From Linear Models to Deep Learning (2017, background): “…helped to train DNNs for large-scale applications, such as for speech recognition [40, 35], image classiﬁcation [18, 47, 77], human action recognition [43], video classiﬁcation [45], forecasting [56, 36, 81, 83], machine translation [17, 2], and civil engineering [26, 1, 46, 24]; see also [89].”
Road Damage Detection and Classification Using Deep Neural Networks with Smartphone Images (2018, background): “Moreover, there are quite a few studies using neural networks for civil engineering problems in the 11 years from 1989 to 2000 (Adeli, 2001).”
Advanced approaches to hot-mix asphalt dynamic modulus prediction (2008, background): “Neural Networks Approach to |E*| Prediction Literature review (Dougherity 1995; TR Circular 1999; Adeli 2001) suggests that ANNs and other soft computing techniques like fuzzy mathematical programming and evolutionary computing (including genetic algorithms) are increasingly used instead of the…”
The promise of implementing machine learning in earthquake engineering: A state-of-the-art review (2020, background): “Adeli (2001) reviewed the works on the integration of artificial neural networks (ANNs) with different computing paradigms, such as genetic algorithm (GA), fuzzy logic, and wavelet analysis, to enhance the application of ANNs in civil/structural engineering.”
Damage classification and estimation in experimental structures using time series analysis and pattern recognition (2010, methodology): “ANNs are structures capable of pattern recognition, classification and function approximation tasks and have been used extensively in the civil engineering field [45].”
A probabilistic neural network for earthquake magnitude prediction (2009, background): “Adeli, 2001; Tashakori & Adeli, 2002), transportation engineering (Adeli & Jiang, 2003; Adeli & Samant, 2000; Cyganek, 2007, 2008; Ghosh-Dastidar & Adeli, 2003; Jiang & Adeli, 2005b; Karim & Adeli, 2003; Pande & Abdel-Aty, 2008; Samant & Adeli, 2001; Stathopoulos, Dimitriou, & Tsekeris, 2008; Vlahog”