| 基于神经网络的Agent电子商务协商模型 |
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| 引用本文： | 卢武昌,胡山立.基于神经网络的Agent电子商务协商模型[J].计算机应用,2005,25(7):1638-1640,1650. |
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| 作者姓名： | 卢武昌 胡山立 |
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| 作者单位： | 1. 福州大学,数学与计算机科学学院,福建,福州,350002
2. 福州大学,数学与计算机科学学院,福建,福州,350002;中国科学院,软件研究所,北京,100080 |
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| 基金项目： | 国家自然科学基金资助项目(60373079) |
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| 摘 要： | 提出一个在电子商务中能辅助用户网上采购的智能Agent协商模型，并对模型进行仿真实验，以验证模型的有效性。模型的构造基于BP神经网络，通过对用户的购物偏好训练学习，使Agent获得一组包含用户偏好特征的规则信息并作为协商过程中推理的依据；每次协商的结果都作为学习样本，以提高Agent对市场变化的适应能力。
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| 关 键 词： | 协商模型 Agent BP神经网络 电子商务 |
| 文章编号： | 1001-9081(2005)07-1638-03 |
Agent negotiation model based on neural networks in electronic commerce |
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| LU Wu-chang,HU Shan-li.Agent negotiation model based on neural networks in electronic commerce[J].journal of Computer Applications,2005,25(7):1638-1640,1650. |
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| Authors: | LU Wu-chang HU Shan-li |
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| Affiliation: | LU Wu-chang~1,HU Shan-li~ 1,2 |
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| Abstract: | An agent negotiation model to help people do shopping online was introduced. Its effectiveness was verified through an emulation experiment. The model was constructed based on BP (error Back Propagation) neural networks. By learning from the sample data of people's personal preference for shopping, the agent could get a block of regular information which reflected the characteristics of people's bias as the basis for reasoning during negotiation; Also the agent learned from the result of negotiation to develop its adaptability to the changeable market. |
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| Keywords: | negotiation model Agent BP neural networks electronic commerce |
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