| 一种基于量子BP网络的图像压缩方法 |
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| 引用本文： | 左现刚,张志霞.一种基于量子BP网络的图像压缩方法[J].计算机工程,2012,38(13):205-207,211. |
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| 作者姓名： | 左现刚 张志霞 |
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| 作者单位： | 河南科技学院信息工程学院,河南新乡,453003 |
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| 基金项目： | 河南省教育厅自然科学研究计划基金资助项目 |
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| 摘 要： | 针对BP网络在图像压缩应用中迭代次数多及训练时间长的问题，设计具有量子输入和输出的神经元模型，结合BP网络在图像压缩中的原理，利用复数BP算法，构建一种用于图像压缩的3层量子BP网络(QBP)，实现图像压缩与图像重建。仿真结果表明，与BP网络相比，QBP网络能获得更好的重建图像质量，且迭代次数较少。
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| 关 键 词： | 量子神经网络 迭代次数 量子BP网络 复数BP算法 图像压缩 收敛速度 |
| 收稿时间： | 2011-12-29 |
Image Compression Method Based on Quantum BP Network |
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| ZUO Xian-gang
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ZHANG Zhi-xia.Image Compression Method Based on Quantum BP Network[J].Computer Engineering,2012,38(13):205-207,211. |
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| Authors: | ZUO Xian-gang ZHANG Zhi-xia |
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| Affiliation: | (School of Information Engineering,Henan Institute of Science and Technology,Xinxiang 453003,China) |
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| Abstract: | Aiming at the problems of much iteration number and long training time for BP’s application in image compression,a Quantum BP(QBP) network algorithm is proposed in this paper.By using a neuronal model with quantum input and output,combined with the theory of BP in image compression and the plural BP algorithm,a model for image impression with 3-layer QBP network is built,which implements image compression and image reconstruction.Simulation results show that QBP network can obtain the reconstructed images with better quantity compared with BP network. |
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| Keywords: | Quantum Neural Network(QNN) iteration number Quantum BP(QBP) network plural BP algorithm image compression convergence rate |
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