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151.
Emilio Marengo Valentina Longo Elisa Robotti Marco Bobba Fabio Gosetti Orfeo Zerbinati Silvana Di Martino 《应用聚合物科学杂志》2008,109(6):3975-3982
Principal component regression (PCR), partial least squares (PLS), StepWise ordinary least squares regression (OLS), and back‐propagation artificial neural network (BP‐ANN) are applied here for the determination of the propylene concentration of a set of 83 production samples of ethylene–propylene copolymers from their infrared spectra. The set of available samples was split into (a) a training set, for models calculation; (b) a test set, for selecting the correct number of latent variables in PCR and PLS and the end point of the training phase of BP‐ANN; (c) a production set, for evaluating the predictive ability of the models. The predictive ability of the models is thus evaluated by genuine predictions. The model obtained by StepWise OLS turned out to be the best one, both in fitting and prediction. The study of the breakdown number of samples to be included in the training set showed that at least 52 experiments are necessary to build a reliable and predictive calibration model. It can be concluded that FTIR spectroscopy and OLS can be properly employed for monitoring the synthesis or the final product of ethylene–propylene copolymers, by predicting the concentration of propylene directly along the process line. © 2008 Wiley Periodicals, Inc. J Appl Polym Sci, 2008 相似文献
152.
153.
Dynamic neural networks with different time-scales include the aspects of fast and slow phenomenons. Some applications require
that the equilibrium points of the designed networks are stable. In this paper, the passivity-based approach is used to derive
stability conditions for dynamic neural networks with different time-scales. Several stability properties, such as passivity,
asymptotic stability, input-to-state stability and bounded input bounded output stability, are guaranteed in certain senses.
A numerical example is also given to demonstrate the effectiveness of the theoretical results. 相似文献
154.
Gloria Galan-Marin Enrique Merida-Casermeiro Domingo Lopez-Rodriguez 《Neural Processing Letters》2007,26(2):133-143
Detection of isomorphism among kinematic chains is essential in mechanical design, but difficult and computationally expensive.
It has been shown that both traditional methods and previously presented neural networks still have a lot to be desired in
aspects such as simplifying procedure of identification and adapting automatic computation. Therefore, a new algorithm based
on a competitive Hopfield network is developed for automatic computation in the kinematic chain isomorphism problem. The neural
approach provides directly interpretable solutions and does not demand tuning of parameters. We have tested the algorithm
by solving problems reported in the recent mechanical literature. Simulation results show the effectiveness of the network
that rapidly identifies isomorphic kinematic chains. 相似文献
155.
智能化空调设计负荷计算软件的开发 总被引:1,自引:0,他引:1
为了解决目前已有空调负荷计算软件使用效率低,不符合设计人员思维习惯的弊病,本文将基于神经网络的专家系统技术与空调负荷“指标估算法”结合起来,开发了一套智能化空调负荷计算软件,对空调设计负荷计算的智能化进行了有益的尝试。该软件计算结果准确,特别适合于经验不足的设计人员使用。 相似文献
156.
改进的BP神经网络在大坝安全监控中的应用 总被引:7,自引:5,他引:2
针对经典BP神经网络运行中存在的缺陷,提出了改进的BP神经网络,不仅解决了经典BP网络易陷入局部最小的弊端,而且应用的0.618分割选取法能使网络快速找到较优隐含层节点数,初始权值的自相关修正进一步提高了网络的稳定性。实际应用证明,改进的BP神经网络有效提高了网络质量,适合大型网络的构建与训练。 相似文献
157.
Lowe Rob; Bennett Paul; Walker Ian; Milne Sarah; Bozionelos George 《Canadian Metallurgical Quarterly》2003,22(5):464
The theory of planned behavior suggests attitudes are a product of salient beliefs. This study examined whether aggregating salient beliefs was plausible within a more biologically centered information-processing environment. A neural network was used to examine associations among beliefs relating to exercise intention. Data on intentions and behavioral, normative, and control beliefs from 114 respondents were used to train (by error backpropagation) a neural network to associate beliefs with intention. The R2 between the network's estimated and self-reported intention was .66. The network's representation comprised 6 belief profiles associated with high, moderate, or low behavioral intention. The neural network accommodated complex relationships among beliefs and belief-intention associations and indicated how high-level constructs such as attitudes may be viewed as the best fit (compromise state) between aroused beliefs. (PsycINFO Database Record (c) 2010 APA, all rights reserved) 相似文献
158.
159.
介绍一种利用径向矢量提取形状特征的方法,着重于分析二维图形的不变性,提出一种带有方向因子的径向矢量描述,该矢量以图形边界弧长为自变量,完整地刻画了图形特点,克服了非凸图形识别中存在的多义性,以归一化的特征矢量的输入,采用三层神经网络为分类器,在字符及军事目标不变性识别中取得了令人满意的结果。 相似文献
160.
基于神经网络的模糊自适应PID控制方法 总被引:51,自引:0,他引:51
提出一种基于BP神经网络的模糊自适应PID控制器。该控制器综合模糊控制、神经网络与PID调节各自的优点,既具有模糊控制的简单和有效的非线性控制作用,又具有神经网络的学习和适应能力,同时具备PID控制的广泛适应性,仿真实验表明该控制器对模型、环境具有较好的适应能力和较强的鲁棒性。 相似文献