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Rong-Ho Lin Chun-Ling Chuang James J.H. Liou Guo-Dong Wu 《Expert systems with applications》2009,36(3):6461-6465
Association rule is a widely used data mining technique that searches through an entire data set for rules revealing the nature and frequency of relationships or associations between data entities. Supplier selection is a significant work in supply chain management. Often, there will be thousands of potential suppliers and identifying a subset of these suppliers can be a complex process of determining a satisfactory subset based on a number of factors. In this paper, the supplier selection can be viewed as the problem of mining a large database of shipment. The proposed method incorporates the extended association rule algorithm of data mining with that of set theory to find key suppliers. This research has employed a numerical example for the integrated method to develop suitable supplier clusters. The results show that the method is effective and applicable. 相似文献
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模糊CMAC神经控制器能反映人脑认知的模糊性和连续性,它采用高斯函数作为模糊隶属函数,利用CMAC神经网络实现模糊推理,并可对隶属函数进行实时调整,从而使它具有自适应和学习能力.文中讨论了这种控制器参数的PSO学习算法,对电厂锅炉主蒸汽温度控制的仿真表明了FCMAC控制器及其PSO学习算法的可行性和有效性. 相似文献
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互联网上含有大量多字体混合、形变、拉伸、左右结构字形、倾斜畸变等复杂场景下的敏感文字图片,在处理相关图片过程中存在特征提取难、识别率低的问题.本文提出基于空间变换网络与密集神经网络的方法对图片敏感文字进行特征提取与变换矫正,使用了深层双向GRU网络与CTC时域连接网络对序列特征信息进行标记预测,序列化处理文本的方式可较好地提升距离较宽文字与模糊文字信息的处理能力.实验结果表明,本模型在Caffe-OCR中文合成数据集和CTW数据集中分别实现了87.0%和90.3%识别准确率,平均识别时间达到了26.3 ms/图. 相似文献
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针对图像去雾算法中存在因介质透射率估计不准确而造成色彩失真、去雾不完全的问题, 提出了一种改进残差神经网络的图像去雾算法. 首先采用并行多尺度卷积层提取雾图像特征. 然后通过引入了深度可分离卷积层的残差网络学习介质透射率, 并利用加权引导滤波细化介质透射率. 最后根据大气散射模型反演得到无雾清晰图像. 实验结果表明, 该算法与其他去雾算法相比在峰值信噪比(peak signal to noise ratio, PSNR)和结构相似度(structural similarity, SSIM)指标上取得了一定的提高, 并且去雾图像在主观视觉上也取得了较好表现. 相似文献
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In the present work, we illustrate a methodology for the reconstruction and modeling of three-dimensional micro-structures of highly anisotropic composite materials. Specifically, we focus on disk-shaped nano-fillers dispersed in a polymer matrix and detailed numerical investigations, based on the lattice Boltzmann method (LBM), are carried out on the global thermal conductivity. 相似文献
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提出了一种基于蚁群优化算法的模糊神经网络控制系统,并介绍了模糊神经网络控制器的结构及其参数的蚁群优化算法.仿真结果表明了该方法的可行性和有效性. 相似文献