Ya-Ting Chang

Artificial Intelligence · with Chang · 2006

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Ya-Ting Chang trusts overall

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

  1. Rao S. Govindaraju
  2. Holger R. Maier
  3. Graeme C. Dandy

Who trusts Ya-Ting Chang overall

  1. George S. Atsalakis

Papers from Ya-Ting Chang's perspective

Ordered by how strongly the researchers Ya-Ting Chang trusts endorse each paper. Same corpus, a different order for every researcher.

  1. A study of optimal model lag and spatial inputs to artificial neural network for rainfall forecasting
  2. Neural networks for the prediction and forecasting of water resource variables: a review of modelling issues and applications (Environmental Modelling & Software)
  3. ARTIFICIAL NEURAL NETWORKS IN HYDROLOGY: II, HYDROLOGIC APPLICATIONS
  4. Principles of Neurocomputing for Science and Engineering
  5. A comparison of various forecasting techniques applied to mean hourly wind speed time series
  6. A new look at the statistical model identification
  7. Time series analysis, forecasting and control
  8. Seasonal to interannual rainfall probabilistic forecasts for improved water supply management: Part 1 — A strategy for system predictor identification
  9. A manifesto for the equifinality thesis
  10. Forecasting stream water temperature using regression analysis, artificial neural network, and chaotic non-linear dynamic models

Their papers