词条 | Henry J. Kelley |
释义 |
In 1948, he received a Bachelor of Science from NYU in aeronautical engineering, and began to work for Grumman Aircraft in the same year.[1] In 1978, he became a professor in the Aerospace and Ocean Engineering Department at the Virginia Polytechnic Institute.[1] His paper on "Gradient Theory of Optimal Flight Paths" (1960)[2] is considered a major contribution to the field.[1] In the context of control theory, Kelley derived basics of backpropagation,[3][4] now widely used for machine learning and artificial neural networks. Kelley received NYU's Founder's Day Award in 1959, the IAS New York Section Award in 1961, the AIAA Guidance and Control of Flight Award in 1973, and the AIAA Pendray Award in 1979. He was a Fellow of the AIAA, and member of the AAS, the IEEE and SIAM, and founder and first chairman of IFAC's Mathematics of Control Committee.[1] Notes1. ^1 2 3 4 E. M. Cliff (1989). Editorial: In Memory of Henry J. Kelley. JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS: Vol. 60, No. 1, JANUARY 1989 {{authority control}}{{DEFAULTSORT:Kelley, Henry}}2. ^Henry J. Kelley (1960). Gradient theory of optimal flight paths. Ars Journal, 30(10), 947-954. Online 3. ^Stuart Dreyfus (1990). Artificial Neural Networks, Back Propagation and the Kelley-Bryson Gradient Procedure. J. Guidance, Control and Dynamics, 1990. 4. ^Jürgen Schmidhuber (2015). Deep Learning. Scholarpedia, 10(11):32832. Section on Backpropagation 7 : 1926 births|1988 deaths|American mathematicians|Fellows of the Society for Industrial and Applied Mathematics|Fellows of the American Institute of Aeronautics and Astronautics|New York University alumni|Control theorists |
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