K. D. J. Nagahama

Civil and Structural Engineering · 2013

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom K. D. J. Nagahama trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Ilker Bekir Topcu

Papers from K. D. J. Nagahama's perspective

Ordered by how strongly the researchers K. D. J. Nagahama trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Prediction of FRP-confined compressive strength of concrete using artificial neural networks
  2. Prediction of compressive strength of concrete by neural networks
  3. Prediction of long-term effects of GGBFS on compressive strength of concrete by artificial neural networks and fuzzy logic
  4. Predicting the compressive strength of ground granulated blast furnace slag concrete using artificial neural network (Advances in Engineering Software)
  5. Predicting the compressive strength and slump of high strength concrete using neural network
  6. Prediction of the compressive strength of no-slump concrete: A comparative study of regression, neural network and ANFIS models
  7. Interpretation of concrete dam behaviour with artificial neural network and multiple linear regression models
  8. Prediction of compressive strength of concrete containing fly ash using artificial neural networks and fuzzy logic
  9. Learning internal representations by error propagation
  10. Influence of recycled concrete aggregates on strength properties of concrete

Their papers