| 基于人工神经元网络的图象重建 |
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| 引用本文： | 詹曙,钱钰,钱源诚. 基于人工神经元网络的图象重建[J]. 合肥工业大学学报(自然科学版), 2000, 23(5): 694-697 |
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| 作者姓名： | 詹曙 钱钰 钱源诚 |
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| 作者单位： | 合肥工业大学,计算机与信息学院,安徽,合肥,230009;厦门大学,计算机,科学系,福建,厦门,361006 |
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| 摘 要： | 文章探讨利用人工神经元网络重建图象的方法 ,并讨论经过改进的 Hopfield网络的基本模型及其实现算法。研究完成了同步跳变、异步跳变和混合跳变等算法在图象重建中的实现 ,最后将衰减最大能量神经元准则应用于上述算法中。实验证明收敛的迭代步骤减少 ,收敛精度提高。
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| 关 键 词： | 图象重建 跳变 迭代 改进的Hopfield神经元网络 |
| 修稿时间： | 2000-01-20 |
Image reconstruction by artificial neural network |
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| ZHAN Shu,QIAN Yu,QIAN Yuan-cheng. Image reconstruction by artificial neural network[J]. Journal of Hefei University of Technology(Natural Science), 2000, 23(5): 694-697 |
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| Authors: | ZHAN Shu QIAN Yu QIAN Yuan-cheng |
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| Abstract: | In this paper, an approach for image reconstruction using Modified Hopfield Neural Network(MHNN) is presented. A generalized model for the MHNN used in image reconstruction is established. A group of algorithms with simultaneous updating and mixed updating are presented. The new algorithms always converge to more precise solutions in fewer update steps as shown by experiments. |
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| Keywords: | image reconstruction updating iteration Modified Hopfield Neural Network |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
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