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6 December 2001 Training an associative memory model for character recognition
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Abstract
In this paper, a new algorithm to determine the adaptive threshold formula for the trinary associative memory model is presented. The optimal threshold is chosen to yield the best performance. Different threshold parameters have been investigated to obtain the optimal range of threshold parameters. In order to validate our performance model, character recognition problems are investigated.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Abdul Ahad Sami Awwal and Haiying Tang "Training an associative memory model for character recognition", Proc. SPIE 4470, Photonic Devices and Algorithms for Computing III, (6 December 2001); https://doi.org/10.1117/12.449670
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