Michael S. Pukish III

Artificial Intelligence · 2012

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 Michael S. Pukish III trusts overall

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

  1. Hao Yu
  2. Bogdan M. Wilamowski

Papers from Michael S. Pukish III's perspective

Ordered by how strongly the researchers Michael S. Pukish III trusts endorse each paper. Same corpus, a different order for every researcher.

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

Their papers