Martin Hagan
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Martin T. Hagan, Ph.D. (1977), is an American engineer; he is a professor at the School of Electrical and Computer Engineering of the Oklahoma State University who is active in the field of neural network design.[1]
Awards[edit]
- Teaching Excellence Award - Lockheed Martin Aeronautics (2005, 2010).
Publications[edit]
- "Neural Network Design" (1996, 2014)
References[edit]
- ↑ OKState, 2018
Literature[edit]
- Kunbao Cai: Practice and thinking for teaching graduate course of Artificial Neural Networks with Applications // Engineering Technology, Engineering Education and Engineering Management / Tan (Ed.), 2015, Taylor & Francis Group, London, ISBN 978-1-138-02780-0 Search this book on ..
- Y. Kwak, J. Hwang, C. Yoo: A new damping strategy of Levenberg-Marquardt algorithm for multilayer perceptrons // Neural Network World, 2011.
- Ali Gulbag, Fevzullah Temurtas, Cihat Tasaltin, Zafer Ziya Ozturk. A neural network implemented microcontroller system for quantitative classification of hazardous organic gases in the ambient air // International Journal of Environment and Pollution. — 2009. — Vol. 36, iss. 1/2/3. — P. 151. — ISSN 1741-5101. — DOI:10.1504/ijep.2009.021823.
Web-sources[edit]
- "Martin Hagan: Professor, School of Electrical and Computer Engineering, Oklahoma State University". School of Electrical and Computer Engineering, Oklahoma State University (OKState). Retrieved 2018-10-05.
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