Artificial neural network study of observed pattern of scour depth around bridge piers

By A. Kaya. 2010

90 citations recorded by the source corpus.

Subfields: Civil and Structural Engineering, Ecology, Water Science and Technology

View Paper: https://www.semanticscholar.org/paper/df129b83d92cc4c55ab2917c4d4d2c2efa99fc82

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Civil and Structural Engineering

1. Shatirah Akib
2. Afshin Jahangirzadeh
3. Mohammad Mohammadhassani

In Ecology

1. Shatirah Akib
2. Afshin Jahangirzadeh
3. Mohammad Mohammadhassani

In Water Science and Technology

1. Shatirah Akib
2. Afshin Jahangirzadeh
3. Mohammad Mohammadhassani

Citations in the corpus

• Application of ANFIS and LR in prediction of scour depth in bridges (2014, methodology): “Kaya [19] developed an ANN model to study the observed pattern of local scour at bridge piers using an FHWA data set composed of 380 measurements at 56 bridges in 13 states.”