| 基于BP的量子神经元特性研究 |
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| 引用本文： | 吕芬,赵生妹.基于BP的量子神经元特性研究[J].江苏广播电视大学学报,2006,17(3):49-51. |
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| 作者姓名： | 吕芬 赵生妹 |
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| 作者单位： | 南京邮电大学,江苏,南京,210003 |
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| 基金项目： | 南京邮电大学校基金项目(NY206020) |
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| 摘 要： | 量子神经计算是传统神经计算与量子计算相结合的产物,它已成为新的信息处理技术之一。以相移门和受控非门作为基本的计算单元,借助复数BP学习算法,构造出量子神经元模型,并通过数值计算给出了该量子神经元的收敛特性曲线。
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| 关 键 词： | 量子神经元 量子门 量子反向传播算法 |
| 文章编号： | 1008-4207(2006)03-0049-03 |
| 收稿时间： | 03 21 2006 12:00AM |
| 修稿时间： | 2006年3月21日 |
Research on Quantum Neuron Characteristics Based on Ack Propagation(BP) |
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| LV Fen,ZHAO Sheng-mei.Research on Quantum Neuron Characteristics Based on Ack Propagation(BP)[J].Journal of Jiangsu Radio & Television University,2006,17(3):49-51. |
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| Authors: | LV Fen ZHAO Sheng-mei |
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| Abstract: | Quantum Neural Networks(QNN) Integrates the characteristics of artificial neural networks by quantum neuron computing,and becomes a promising field in information processing.A quantum neuron model by the conventional back propagation with learning rule,is established based on the phase-shift gate and thecontrolled-Not gate acted as the basic computational component.Finally its convergence performance curve of the quantum neuron is given by the numerical simulation. |
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| Keywords: | quantum neuron quantum gates quantum back propagation |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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