Paul Werbos

In this article, we will delve into the fascinating world of Paul Werbos, exploring its origins, evolution and relevance today. From its earliest roots to its impact on modern society, Paul Werbos has played a significant role in various fields, capturing the attention of people of all ages and interests. Through detailed analysis, we will examine the key aspects that have contributed to Paul Werbos's popularity and relevance, as well as its influence on contemporary culture. With a multidisciplinary approach, we will address the different aspects of Paul Werbos, from its historical importance to its impact on technology and innovation, providing a comprehensive view of its importance in today's world.

Paul J. Werbos
Paul Werbos at the International Joint Conference on Neural Networks (IJCNN) in Seattle on 8 July 1991.
Born (1947-09-04) September 4, 1947 (age 77)
NationalityAmerican
Alma materHarvard University
Known forBackpropagation
AwardsIEEE Neural Network Pioneer Award (1995)
IEEE Frank Rosenblatt Award (2022)
Scientific career
FieldsSocial science
Machine Learning
ThesisBeyond Regression: New Tools for Prediction and Analysis in the Behavioral Sciences (1974)
Doctoral advisorKarl Deutsch
Other academic advisorsYu-Chi Ho

Paul John Werbos (born September 4, 1947) is an American social scientist and machine learning pioneer. He is best known for his 1974 dissertation, which first described the process of training artificial neural networks through backpropagation of errors.[1] He also was a pioneer of recurrent neural networks.[2]

Werbos was one of the original three two-year Presidents of the International Neural Network Society (INNS). In 1995, he was awarded the IEEE Neural Network Pioneer Award for the discovery of backpropagation and other basic neural network learning frameworks such as Adaptive Dynamic Programming.[3]

Werbos has also written on quantum mechanics and other areas of physics.[4][5] He also has interest in larger questions relating to consciousness, the foundations of physics, and human potential.

He served as program director in the National Science Foundation for several years until 2015.

References

  1. ^ The thesis, and some supplementary information, can be found in his book, Werbos, Paul J. (1994). The Roots of Backpropagation : From Ordered Derivatives to Neural Networks and Political Forecasting. New York: John Wiley & Sons. ISBN 0-471-59897-6.
  2. ^ Werbos, P. (1990). "Backpropagation Through Time: What It Does and How to Do It". Proceedings of the IEEE. 78 (10): 1550–1560. doi:10.1109/5.58337. S2CID 18470994.
  3. ^ "Award Recipients". IEEE. Archived from the original on January 17, 2013. Retrieved September 12, 2017.
  4. ^ Werbos, Paul J. (2005). "A Conjecture About Fermi–Bose Equivalence". arXiv:hep-th/0505023. Bibcode:2005hep.th....5023W. {{cite journal}}: Cite journal requires |journal= (help)
  5. ^ "Discussion with Paul Werbos on the Nature of Quantum Nonlocality". December 7, 2012.