Some Nonlinear Networks Suggested by Learning Theory

Author

Stephen Grossberg

Date of Award

1967

Document Type

Thesis

Degree Name

Doctor of Philosophy (PhD)

RU Laboratory

Bronk Laboratory

Abstract

We introduce several systems of nonlinear difference -differential equations and prove oscillation and global ratio limit theorems for some of them. These systems can be interpreted as a learning theory, or alternatively as a nonstationary prediction theory whose goal is to discuss the prediction of individual events, in a fixed order, and at prescribed times. They can also be interpreted as cross-correlated flows on networks, or as deformations of a probabilistic graph.

Comments

A thesis submitted to the Faculty of The Rockefeller University in partial fulfillment of the requirements for the degree of Doctor of Philosophy

Recommended Citation

Grossberg, Stephen, "Some Nonlinear Networks Suggested by Learning Theory" (1967). Student Theses and Dissertations. 561.
https://digitalcommons.rockefeller.edu/student_theses_and_dissertations/561