Martin T. Hagan
Optimization & Training · 1994–2015
A researcher in the Science corpus: 4 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Optimization & Training — 12 citations into it
Whom Martin T. Hagan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Paul J. Werbos
- Bernard Widrow
- David John Cameron MacKay
- John E. Dennis Jr.
- David E. Rumelhart
- Derrick Nguyen
- Bobby Schnabel
- Allan Pinkus
- Geoffrey E. Hinton
- Roberto Battiti
Who trusts Martin T. Hagan overall
- J. V. Lint
- Demetris Stathakis
- A. Zaji
- Jan S. Hesthaven
- D. H. Wang
- Debi Prasanna Kanungo
- Saman Razavi
- S. Formentin
- Manuel Pegalajar Cuéllar
- Ricardo de A. Araújo
Papers from Martin T. Hagan's perspective
Ordered by how strongly the researchers Martin T. Hagan trusts endorse each paper. Same corpus, a different order for every researcher.
- Beyond Regression : "New Tools for Prediction and Analysis in the Behavioral Sciences
- Neural Networks for Pattern Recognition
- Multilayer feedforward networks are universal approximators
- Numerical methods for unconstrained optimization and nonlinear equations
- Improving the learning speed of 2-layer neural networks by choosing initial values of the adaptive weights
- Time Series Analysis: Forecasting and Control
- Approximation theory of the MLP model in neural networks
- On the "Identification and control of dynamical systems using neural networks"
- Design and Analysis of Algorithms (Lecture Notes in Computer Science)
- Neural networks: applications in industry, business and science
Their papers
- Neural Network Toolbox™ User's Guide (2015) — 1,738 citations
- An introduction to the use of neural networks in control systems (2002) — 354 citations
- Gauss-Newton approximation to Bayesian learning (1997)
- Training feedforward networks with the Marquardt algorithm (1994)