首页> 外文会议>1998 IEEE Symposium on Advances in Digital Filtering and Signal Processing, 1998 >A practical neural network for handwritten character recognitionbuilt by dynamics-based active learning and self-organization offeedback mechanism
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A practical neural network for handwritten character recognitionbuilt by dynamics-based active learning and self-organization offeedback mechanism

机译:基于动态主动学习和反馈机制自组织构建的实用手写字符识别神经网络

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A feedback mechanism which enhances similarity between recognitionby a human and that by an artificial neural network we have proposed isintroduced. A human may turn his attention to a particular portion ofthe object in order to classify it successfully. It is regarded as afeedback from the first rough classification to the final one. Theproposed feedback mechanism is designed to simulate such attention. Therecognition rates by a neural network with the feedback mechanism exceedthose by a former neural network
机译:增强识别之间相似度的反馈机制 由人类和我们提出的人工神经网络 介绍。一个人可能会将注意力转移到 对象以成功对其进行分类。它被认为是 从第一个粗分类到最后一个的反馈。这 提出的反馈机制旨在模拟这种关注。这 具有反馈机制的神经网络的识别率超过 以前的神经网络的那些

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