Howard B. Demuth

Optimization & Training · 2002–2015

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Howard B. Demuth trusts overall

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

  1. Paul J. Werbos
  2. John E. Dennis Jr.
  3. Bernard Widrow
  4. David E. Rumelhart

Papers from Howard B. Demuth's perspective

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

  1. Beyond Regression : "New Tools for Prediction and Analysis in the Behavioral Sciences
  2. Learning representations by back-propagating errors
  3. Neural Networks for Pattern Recognition
  4. Numerical methods for unconstrained optimization and nonlinear equations
  5. Multilayer feedforward networks are universal approximators
  6. On the "Identification and control of dynamical systems using neural networks"
  7. Approximation theory of the MLP model in neural networks
  8. Design and Analysis of Algorithms (Lecture Notes in Computer Science)
  9. Neural networks: applications in industry, business and science
  10. Learning and relearning in Boltzmann machines

Their papers