Training System For Artificial Neural Networks Having A Global Weight Constrainer
Inventors: Vikas Singh, Sathya Ravi, 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.
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