Initial work on the development of a hardware-based gradient descent trained expert system

HIGHLIGHTS

  • who: Fateen Ahmed and Jeremy Straub from the Department of Electrical and Computer Engineering, North Dakota State University, Centennial Blvd, Fargo, ND, USA have published the article: Initial Work on the Development of a Hardware-Based Gradient Descent Trained Expert System, in the Journal: Systems 2022, 10, 160. of /2022/
  • what: In this paper, the concept of hardware-based expert systems is further developed through the creation of a gradient descent trained version, which operates conceptually similarly to a neural_network. This section reviews prior work in several areas, which provides a foundation for the work . . .

     

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