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基于粗糙集神经网络的燃煤发热量预测模型 总被引:1,自引:0,他引:1
通过对粗糙集和BP神经网络的分析研究,以专家系统为核心,提出了一种基于粗糙集神经网络的燃煤发热量预测模型;选取影响燃煤发热量的6个参数,利用粗糙集理论对原始信息表进行约简操作,去除冗余的属性和属性值,得到约简规则,并将其作为BP神经网络的输入,对燃煤发热量进行预测;通过分析对比线性回归方法和粗糙集神经网络方法,说明该模型能有效地简化神经网络的网络结构,减少网络的训练步数,提高网络的学习效率,能够较准确地对燃煤发热量进行预测。 相似文献
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基于粗糙集和神经网络的供应链绩效预测研究 总被引:3,自引:0,他引:3
文章从知识发现和数据挖掘的角度,利用粗糙集和BP神经网络的理论和方法,建立了基于粗糙集和BP神经网络相结合的供应链绩效预测模型。并结合一个供应链绩效预测实例,首先对其基于平衡记分卡的指标体系进行了约简,然后将约简的评价指标输入到BP神经网络中进行智能训练,最后把预测的样本输入到训练好的BP网络中得出供应链绩效的预测值,预测结果与实际结果基本吻合。 相似文献
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提出一种基于粗糙集理论和遗传算法的神经网络模型和它的构造方法.该模型先利用粗糙集理论进行属性约简;利用遗传算法优化BP网络参数;用约简结果和优化的BP网络参数进行网络训练.仿真实验结果表明,该模型能简化网络训练样本,优化神经网络结构,提高系统的学习效率和精度.此方法是有效可行的,具有理论意义和实用价值. 相似文献
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基于粗糙集-BP神经网络的机车滚动轴承故障诊断 总被引:1,自引:0,他引:1
论文提出了一种基于粗糙集理论与BP神经网络相结合的机车滚动轴承故障诊断方法.首先对原始故障诊断样本的连续属性进行离散化处理,然后利用粗糙集理论,对条件属性进行约简,删除冗余信息,最后将约简的最小属性集作为BP神经网络的输入,并设计BP神经网络对滚动轴承进行诊断.仿真结果表明粗糙集-BP模型不仅简化神经网络结构,而且提高了收敛速度和故障诊断正确率. 相似文献
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研究网络入侵准确检测问题.针对入侵检测系统存在的比较高的漏报率以及高的误报率,同时也存在入侵检测的数据存在维数大、冗余度高等缺陷.为了保证网络的安全防护技术的实时性和有效性,结合领域粗糙集和BP神经网络算法的优点,提出了一种新的基于领域粗糙集理论和BP神经网络算法的入侵检测算法.首先在粗糙集理论的基础上引入领域概念,减少信息的丢失,利用领域粗糙集理论进行数据的约简,将简化的数据集作为BP神经网络输入数据,可简化BP神经网络的结构,同时缩短了样本训练时间,有效提高了BP神经网络分类正确率.在Matlab上进行仿真的结果表明,所提出的入侵检测算法,训练样本时间更短,入侵识别率和检测率却有了较以前的传统算法更高的准备率. 相似文献
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采用神经网络对风速进行短期预测,研究BP型短期风速预测网络中BP算法、BP网络构建以及网络训练方法.结合时间序列法和神经网络法提出了时序神经网络预测方法,对短期风速预测网络中输入变量数量和隐舍层节点数量的选择方法进行了探讨.仿真实验结果表明,时序神经网络法建立的网络,训练时间明显缩短,网络输出的预测值与真实的观察值之间... 相似文献
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为更有效预测设备故障,提出一种基于灰色粗糙集与BP神经网络的设备故障预测模型。用灰色关联分析和粗糙集理论分别对二维故障决策表进行横向和纵向两个维度的约简,将冗余的数据和属性去掉,并将约简后的数据输入到BP神经网络,预测设备故障。最后以地铁信号设备故障预测为例进行实例验证,结果表明,该模型预测误差更小,预测准确率更高。 相似文献
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This article describes the rationale for the multiphase creative problem solving process, and reports the findings from an empirical investigation conducted to facilitate the problem solving of managers. The ideational skills of the managers were assessed before and after training in a complete process of creative problem solving, along with their ideational attitudes, creative problem solving style (i.e., generator, conceptualizer, optimizer, or implementor), and evaluative skill (i.e., ability to recognize original ideas). The most important findings indicated that the training had a significant impact on the evaluative accuracy of the managers. They were significantly more accurate in their judgments about original ideas after training, both in their identification of original ideas and their recognition of unoriginal ideas. After training, the managers also gave more solutions and more original solutions to problems. Finally, several variables (e.g., the “preference for active divergence” attitude, and the conceptualizer process style) seemed to moderate the impact of training. Training was therefore effective, with specific effects that can be predicted from pre-training individual differences in attitudes and process style. 相似文献
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The deep connection between the Burrows–Wheeler transform (BWT) and the so-called rank and select data structures for symbol sequences is the basis of most successful approaches to compressed text indexing. Rank of a symbol at a given position equals the number of times the symbol appears in the corresponding prefix of the sequence. Select is the inverse, retrieving the positions of the symbol occurrences. It has been shown that improvements to rank/select algorithms, in combination with the BWT, turn into improved compressed text indexes. 相似文献
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为提高高等院校的管理水平和决策水平,充分利用校园网资 源,开发了高等院校行政财政分析与决策系统。解决了诸如数据的动态查询、自动生成报表 、网络环境下数据共享等技术问题,具有网上数据共享、图形界面友好和安全的保密措施等 特点。 相似文献
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Harshavardhana P. Jonckheere E. Silverman L. 《Automatic Control, IEEE Transactions on》1984,29(8):744-746
A new method of stochastic model reduction has recently been introduced by Desai et al. [1], [2]. The stability of the reduced order model has not previously, been considered. In this paper, we show that the stability of the reduced order model follows directly from the results of Pernebo and Silverman [3]. It is also shown that the reduced order model is minimal, in the controllability/observability sense. The relevance of this notion of minimality to stochastic minimality is made clear. 相似文献
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