Paul Werbos
Encyclopedia
Paul J. Werbos is a scientist best known for his 1974 Harvard University
Ph.D.
thesis, which first described the process of training artificial neural network
s through backpropagation
of errors. The thesis, and some supplementary information, can be found in his book, The Roots of Backpropagation (ISBN 0-471-59897-6). He also was a pioneer of recurrent neural networks.
Werbos was one of the original three two-year Presidents of the International Neural Network
Society (INNS). He also has won the IEEE Neural Network Pioneer Award, for the discovery of backpropagation
and other basic neural network learning frameworks such as Adaptive Dynamic Programming
.
He currently works for the National Science Foundation
.
Harvard University
Harvard University is a private Ivy League university located in Cambridge, Massachusetts, United States, established in 1636 by the Massachusetts legislature. Harvard is the oldest institution of higher learning in the United States and the first corporation chartered in the country...
Ph.D.
Doctor of Philosophy
Doctor of Philosophy, abbreviated as Ph.D., PhD, D.Phil., or DPhil , in English-speaking countries, is a postgraduate academic degree awarded by universities...
thesis, which first described the process of training artificial neural network
Artificial neural network
An artificial neural network , usually called neural network , is a mathematical model or computational model that is inspired by the structure and/or functional aspects of biological neural networks. A neural network consists of an interconnected group of artificial neurons, and it processes...
s through backpropagation
Backpropagation
Backpropagation is a common method of teaching artificial neural networks how to perform a given task. Arthur E. Bryson and Yu-Chi Ho described it as a multi-stage dynamic system optimization method in 1969 . It wasn't until 1974 and later, when applied in the context of neural networks and...
of errors. The thesis, and some supplementary information, can be found in his book, The Roots of Backpropagation (ISBN 0-471-59897-6). He also was a pioneer of recurrent neural networks.
Werbos was one of the original three two-year Presidents of the International Neural Network
Neural network
The term neural network was traditionally used to refer to a network or circuit of biological neurons. The modern usage of the term often refers to artificial neural networks, which are composed of artificial neurons or nodes...
Society (INNS). He also has won the IEEE Neural Network Pioneer Award, for the discovery of backpropagation
Backpropagation
Backpropagation is a common method of teaching artificial neural networks how to perform a given task. Arthur E. Bryson and Yu-Chi Ho described it as a multi-stage dynamic system optimization method in 1969 . It wasn't until 1974 and later, when applied in the context of neural networks and...
and other basic neural network learning frameworks such as Adaptive Dynamic Programming
Dynamic programming
In mathematics and computer science, dynamic programming is a method for solving complex problems by breaking them down into simpler subproblems. It is applicable to problems exhibiting the properties of overlapping subproblems which are only slightly smaller and optimal substructure...
.
He currently works for the National Science Foundation
National Science Foundation
The National Science Foundation is a United States government agency that supports fundamental research and education in all the non-medical fields of science and engineering. Its medical counterpart is the National Institutes of Health...
.