Wisconsin Alumni Research Foundation

Sathya Narayanan Ravi

Vikas Singh

Vishnu Sai Rao Suresh Lokhande

Tuan Dinh

An architecture for training the weights of artificial neural networks provides a global constrainer modifying the neuron weights in each iteration not only by the back-propagated error but also by a global constraint constraining these weights based on the value of all weights at that iteration. The ability to accommodate a global constraint is made practical by using a constrained gradient descent which approximates the error gradient deduced in the training as a plane, offsetting the increased complexity of the global constraint.

Growing community of inventors

Madison, WI, United States of America

Sathya Narayanan Ravi