A practical neural network for handwritten character recognition built by dynamics-based active learning and self-organization of feedback mechanism
説明
A feedback mechanism which enhances similarity between recognition by a human and that by an artificial neural network we have proposed is introduced. A human may turn his attention to a particular portion of the object in order to classify it successfully. It is regarded as a feedback from the first rough classification to the final one. The proposed feedback mechanism is designed to simulate such attention. The recognition rates by a neural network with the feedback mechanism exceed those by a former neural network.
収録刊行物
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- Proceedings of ICNN'95 - International Conference on Neural Networks
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Proceedings of ICNN'95 - International Conference on Neural Networks 6 3089-3094, 2002-11-19
IEEE