| 释义 |
- Awards
- Publications
- References
- Literature
- Web-sources
{{AFC submission|t||ts=20181104121031|u=Balabinrm|ns=118|demo=}}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 - Teaching Excellence Award - Lockheed Martin Aeronautics (2005, 2010).
Publications - "Neural Network Design" (1996, 2014)
References 1. ^OKState, 2018
Literature - 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}}.
- 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 - {{cite web|url=http://hagan.okstate.edu|title=Martin Hagan: Professor, School of Electrical and Computer Engineering, Oklahoma State University|author=|date=|website=|publisher=School of Electrical and Computer Engineering, Oklahoma State University (OKState)|accessdate=2018-10-05}}
{{authority control}}{{DEFAULTSORT:Hagan, Martin}}Category:living peopleCategory:American engineersCategory:Oklahoma State University faculty{{AFC submission|||ts=20190309230750|u=Balabinrm|ns=118}} |