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In multivariate discrimination of several normal populations, the optimal classification procedure is based on quadratic discriminant functions. We compare expected error rates of the quadratic classification procedure if the covariance matrices are estimated under the following four models: (i) arbitrary covariance matrices, (ii) common principal components, (iii) proportional covariance matrices, and (iv) identical covariance matrices. Using Monte Carlo simulation to estimate expected error rates, we study the performance of the four discrimination procedures for five different parameter setups corresponding to standard situations that have been used in the literature. The procedures are examined for sample sizes ranging from 10 to 60, and for two to four groups. Our results quantify the extent to which a parsimonious method reduces error rates, and demonstrate that choosing a simple method of discrimination is often beneficial even if the underlying model assumptions are wrong.The authors wish to thank the editor and three referees for their helpful comments on the first draft of this article. M. J. Schmid supported by grants no. 2.724-0.85 and 2.038-0.86 of the Swiss National Science Foundation. 相似文献
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The aim of this article is to shed light on an understudied aspect of Giordano Bruno's intellectual biography, namely, his career as a mathematical practitioner. Early interpreters, especially, have criticized Bruno's mathematics for being “outdated” or too “concrete”. However, thanks to developments in the study of early modern mathematics and the rediscovery of Bruno's first mathematical writings (four dialogues on Fabrizio's Mordente proportional compass), we are in a position to better understand Bruno's mathematics. In particular, this article aims to reopen the question of whether Bruno anticipated the concept of infinitesimal quantity. It does so by providing an analysis of the dialogues on Mordente's compass and of the historical circumstances under which those dialogues were written. 相似文献
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基于动态RBF神经网络在线辨识的单神经元PID控制 总被引:4,自引:0,他引:4
针对工业控制领域中复杂非线性时变系统,提出了基于动态RBF神经网络辨识的单神经元PID控制方法。采用动态RBF神经网络辨识器在线辨识系统模型,获得PID参数在线调整信息,并由单神经元PID控制器完成控制器参数的在线自整定,实现系统的智能控制。仿真结果表明,与常规RBF神经网络辨识的PID控制方法相比,该方法具有控制精度高、响应速度快的优点,并且具备较强的自适应性和鲁棒性。 相似文献
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How to provide service differentiation in the Intemet is a hot research topic. One proposal is to provide loss rate differentiation by assigning levels of drop precedence to IP packets. This paper proposes a new Active Queue Management (AQM) mechanism, Weighted SAP (WSAP) to achieve this goal. WSAP is based on a new AQM algorithm called Simple Adaptive Proportional (SAP). WSAP can approximate proportional loss rate differentiation, while keeping high link utilization and short queuing delay. Compared with Weighted RED(WRED) and RED In and Out (RIO), WSAP is easier to configure and can provide better performance. Furthermore, an architecture for differentiated service is proposed. In the design of this architecture, more attention is paid to the characteristics of network traffic in the lntemet and an attempt is made to preserve the Intemet‘s original design principles. 相似文献
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将比例积分控制原理应用于供应链库存控制的研究,设计了一种两级供应链环境下的库存比例积分控制器,并利用系统动力学方法构建了两级供应链库存比例积分控制器的动态仿真模型,最后通过实例仿真得出了实现牛鞭效应、库存水平、库存波动、缺货的协调控制的控制增益组合,并给出了系统内部结构上的解释.结果表明,在合适的控制增益组合下,供应链库存比例积分控制器能有效的缓解供应链系统中的牛鞭效应、降低库存水平及库存波动幅度、减少缺货的发生等. 相似文献
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基于BP神经网络PID参数自整定的研究 总被引:32,自引:4,他引:32
PID控制是迄今为止在过程控制中应用最为广泛的控制方法。但在实际应用中,其参数整定仍未得到较好的解决。本文把神经网络技术应用在PID控制中,充分利用神经网络具有非线性函数逼近能力,构造神经网络PID自整定控制器,并通过仿真试验,取得较好的结果。 相似文献
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为满足各级公司对高保额机动车辆险的风险分散需求,又要尽可能保住该类优质业务的利润,利用中国人保公司整体优势,通过IT技术自动实现高价车内部分保。运行2年,该类车保费年增幅平均达89%,每年可节省上百万的分保利润。该系统适合在有相当多规模不大的子公司,但整体有一定规模的财产保险公司中运用。 相似文献
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贾海军 《河南科技大学学报(自然科学版)》1998,(3)
介绍了利用STD5000系列工业总线控制计算机对D-200型网带式热处理炉进行自动控制,实现连续热处理生产的一种计算机控制系统。 相似文献