Module for constructing trainable modular network in which each

Details Module for constructing trainable modular network in which each Module for constructing trainable modular network in which each

1997-03-11

2000-10-03

Hafiz, Tariq R.

Data processing: artificial intelligence

Plural processing systems

706 12, 706 14, G06F 1500

Patent

active

061286060

ABSTRACT:
A machine learning paradigm called Graph Transformer Networks extends the applicability of gradient-based learning algorithms to systems composed of modules that take graphs as inputs and produce graphs as output. Training is performed by computing gradients of a global objective function with respect to all the parameters in the system using a kind of back-propagation procedure. A complete check reading system based on these concept is described. The system uses convolutional neural network character recognizers, combined with global training techniques to provides record accuracy on business and personal checks.

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Lou Zhensheng et al. The Parallel Model for Syntax Analysis with Uniform Graph Transformation Mechanism, Proceedings of the 3rd Pacific RIM International Conference on Artificial Intelligence, Aug. 15, 1994, pp. 649-657.

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