Aquifer parameters determination for large diameter wells using neural network approach

By Khaled S. Balkhair. 2002

78 citations recorded by the source corpus.

Subfields: Environmental Engineering, Ocean Engineering

View Paper: https://www.semanticscholar.org/paper/1a1d954019e407399c5cbd894f32ab5751ab21be

How researchers see this paper

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

In Environmental Engineering

1. Shahaboddin Shamshirband
2. Chong Wen Tong
3. Dalibor Petkovic
4. Kwok-Wing Chau
5. Kasra Mohammadi
6. Emilio Porcu
7. Ozgur Kisi
8. Babak Mohammadi

In Ocean Engineering

1. Kwok-Wing Chau
2. Chong Wen Tong

Citations in the corpus

• RETRACTED ARTICLE: Application of extreme learning machine for estimation of wind speed distribution (2016, background): “ANN has a wide range of applications as a multilayer feedforward network with back propagation learning algorithm (Aziz and Wong 1992; Balkhair 2002; Chau 2007; Demuth and Beale 1997; Schalkoff 1997).”
• Particle Swarm Optimization Training Algorithm for ANNs in Stage Prediction of Shing Mun River (2006, methodology): “Balkhair (2002) determined aquifer parameters for large diameter wells using neural network approach.”