George Cybenko
George Cybenko is the Dorothy and Walter Gramm Professor of Engineering at Dartmouth and a fellow of the IEEE and SIAM.[1]
Education[edit]
Cybenko obtained his BA in mathematics from the University of Toronto and received his PhD from Princeton in applied mathematics of electrical and computer engineering in 1978.
Work[edit]
Cybenko has served as an advisor for the Defense Science Board and several other government panels and is the founding editor-in-chief of the IEEE Security & Privacy magazine. His current research interests are distributed information, control systems, and signal processing, with a focus on applications to security and infrastructure protection. He is known for proving the universal approximation theorem for artificial neural networks with sigmoid activation functions.[2]
References[edit]
- ^ Princeton EE alumni profiles
- ^ Cybenko, G. (1989) "Approximations by superpositions of sigmoidal functions", Mathematics of Control, Signals, and Systems, 2(4), 303–314. doi:10.1007/BF02551274
External links[edit]
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