Bogdan M. Wilamowski

Optimization & Training · The Industrial Information Technology Handbook · 2005–2012

A researcher in the Science corpus: 5 papers; trusts 4 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

Whom Bogdan M. Wilamowski trusts overall

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

  1. David E. Rumelhart
  2. Geoffrey E. Hinton
  3. Ronald J. Williams
  4. Paul J. Werbos
  5. Hao Yu

Who trusts Bogdan M. Wilamowski overall

  1. Hao Yu
  2. David K. Hunter
  3. Stephan Wenger
  4. Man Zhou
  5. Tom Auld
  6. Tiantian Xie
  7. Clement Lork
  8. Jie Xiao
  9. Maria Rita Palattella
  10. Michael S. Pukish III

Papers from Bogdan M. Wilamowski's perspective

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

  1. Learning representations by back-propagating errors
  2. UCI Repository of machine learning databases
  3. An efficient sequential learning algorithm for growing and pruning RBF (GAP-RBF) networks (IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics))
  4. A direct adaptive method for faster backpropagation learning: the RPROP algorithm
  5. Universal Approximation Using Radial-Basis-Function Networks
  6. Geometrical and Statistical Properties of Systems of Linear Inequalities with Applications in Pattern Recognition
  7. Improved Computation for Levenberg–Marquardt Training (IEEE Transactions on Neural Networks)
  8. Learning Speaker-Specific Characteristics With a Deep Neural Architecture
  9. Neural Network Applications in Power Electronics and Motor Drives—An Introduction and Perspective (IEEE transactions on industrial electronics (1982. Print))
  10. State-of-Charge Estimation for Lithium-Ion Batteries Using Neural Networks and EKF (IEEE transactions on industrial electronics (1982. Print))

Their papers