Add to ORKGThesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1988.Includes bibliographical references (p. 56-58).Supported by the U.S. Army Research Office. DAAL-03-86-K-0171 Supported by the Air Force Office of Scientific Research. AFOSR-85-0227Bby Mohamad A. Akra.M.S
A Hopfield neural network architecture is developed to solve the optimal control problem for homing ...
It is shown that a Hopfield neural network (with linear transfer functions) augmented by an addition...
The Continuous Hopfield Network (CHN) became one of the major breakthroughs in the come back of Neur...
Artificial neural networks have been studied for many years in the hope of achieving human-like perf...
This work aims at reviewing some of the main issues that are under research in the field of Hopfield...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 1993.Includ...
A geometrical approach based on dynamical systems theory is presented for the analysis of Hopfield n...
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer S...
Thesis (Ph. D) -- University of Stellenbosch, 1997.Full text to be digitised and attached to bibliog...
It is shown that conventional computers can be exponentiallx faster than planar Hopfield networks: a...
The performance of a Hopfield network in learning an extensive number of concepts having access only...
In the present paper we investigate four relatively independent issues, which complete our knowledge...
My research interests lie in the field of computational geometry and its application to problems ari...
[[abstract]]The Hopfield neural network (HNN) is one major neural network (NN) for solving optimizat...
This survey is concerned oneself with the study of those types of material networks which can be met...
A Hopfield neural network architecture is developed to solve the optimal control problem for homing ...
It is shown that a Hopfield neural network (with linear transfer functions) augmented by an addition...
The Continuous Hopfield Network (CHN) became one of the major breakthroughs in the come back of Neur...
Artificial neural networks have been studied for many years in the hope of achieving human-like perf...
This work aims at reviewing some of the main issues that are under research in the field of Hopfield...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 1993.Includ...
A geometrical approach based on dynamical systems theory is presented for the analysis of Hopfield n...
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer S...
Thesis (Ph. D) -- University of Stellenbosch, 1997.Full text to be digitised and attached to bibliog...
It is shown that conventional computers can be exponentiallx faster than planar Hopfield networks: a...
The performance of a Hopfield network in learning an extensive number of concepts having access only...
In the present paper we investigate four relatively independent issues, which complete our knowledge...
My research interests lie in the field of computational geometry and its application to problems ari...
[[abstract]]The Hopfield neural network (HNN) is one major neural network (NN) for solving optimizat...
This survey is concerned oneself with the study of those types of material networks which can be met...
A Hopfield neural network architecture is developed to solve the optimal control problem for homing ...
It is shown that a Hopfield neural network (with linear transfer functions) augmented by an addition...
The Continuous Hopfield Network (CHN) became one of the major breakthroughs in the come back of Neur...