Y. Wang

Artificial Intelligence · with Dong · 2008

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Y. Wang trusts overall

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

  1. G. Huang
  2. Chee Kheong Siew
  3. Qin-Yu Zhu

Who trusts Y. Wang overall

  1. Damminda Alahakoon

Papers from Y. Wang's perspective

Ordered by how strongly the researchers Y. Wang trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Learning capability and storage capacity of two-hidden-layer feedforward networks (IEEE Trans. Neural Networks)
  2. Extreme learning machine: a new learning scheme of feedforward neural networks (2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541))
  3. Universal Approximation using Incremental Constructive Feedforward Networks with Random Hidden Nodes (IEEE Transactions on Neural Networks)
  4. Extreme learning machine: Theory and applications
  5. A Fast and Accurate Online Sequential Learning Algorithm for Feedforward Networks
  6. Customer Characterization Options for Improving the Tariff Offer (IEEE Power Engineering Review)
  7. Electricity theft: a comparative analysis
  8. An electric energy consumer characterization framework based on data mining techniques (IEEE Transactions on Power Systems)
  9. An efficient sequential learning algorithm for growing and pruning RBF (GAP-RBF) networks (IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics))
  10. A generalized growing and pruning RBF (GGAP-RBF) neural network for function approximation (IEEE Transactions on Neural Networks)

Their papers