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自1972年在北京设立办事处,美国凯洛格布朗路特公司(英文缩写KBR)亲历了中国改革开放前后发展上的巨变,也见证了中国石油化工业的腾飞。至今,KBR公司全球雇员已达56000人,业务遍及49个国家。KBR公司已经在中国成功完成了95个项目,其中包括多套大型合成氨工艺技术、苯酚丙酮工艺技术、乙烯裂解工艺技术、ROSE炼油工艺技术、Superflex定向制丙稀技术、TRIG煤气化技术、苯胺工艺技术等。07年来,KBR一直坚持“专业务实、扎根中国、服务中国”的理念为中国用户提供所需的技术和服务。自2009年1月以来,KBR扩大了北京办公室的规模,招募了精兵强将,以便为中国用户提共更加及时和完善的专业技术服务。 相似文献
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以Sigmoid为传递函数的BP网络在过程系统工程领域已经得到了广泛的应用 ,但是一般的GDR训练算法在极小点附近易发生振荡 ,收敛速度慢。本文提出了人工神经网络M法训练的新途径 ,并且通过不同算例和工业实际数据建模应用证实了M算法的收敛速度大约是GDR算法的 5 - 10倍左右 ,有效地提高了网络训练的速度和训练效率 相似文献
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In the first part of the article, a new algorithm for pruning networkDynamic Optimal Brain Damage(DOBD) is introduced. In this part, two cases and an industrial application are worked out to test the new algorithm. It is verified that the algorithm can obtain good generalization through deleting weight parameters with low sensitivities dynamically and get better result than the Marquardt algorithm or the cross-validation method. Although the initial construction of network may be different, the finial number of free weights pruned by the DOBD algorithm is similar and the number is just close to the optimal number of free weights. The algorithm is also helpful to design the optimal structure of network. 相似文献
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KBR传输床气化炉(也称之为TRIG)是一种先进的煤气化技术,可提供干净、无颗粒的合成气。TRIG是一种紧凑的加压循环流化床反应器,无内部或移动部件。其运行和机械设计源自KBR的流化催化裂化(FCC)技术,该技术已有60多年的成功商业运营经验。描述了煤制合成氨的KBR新工艺,其中TRIG作为KBR合成氨装置流程中的一部分,向一个典型的1500t/d的合成氨回路提供氢气。论述了基于TRIG特性的工艺整合和优化要素,以实现稳定高效的煤制合成氨工厂设计。 相似文献
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Overfitting is one of the important problems that restrain the application of neural network. The traditional OBD (Optimal Brain Damage) algorithm can avoid overfitting effectively. But it needs to train the network repeatedly with low calculational efficiency. In this paper, the Marquardt algorithm is incorporated into the OBD algorithm and a new method for pruning network-the Dynamic Optimal Brain Damage (DOBD) is introduced. This algorithm simplifies a network and obtains good generalization through dynamically deleting weight parameters with low sensitivity that is defined as the change of error function value with respect to the change of weights. Also a simplified method is presented through which sensitivities can be calculated during training with a little computation. A rule to determine the lower limit of sensitivity for deleting the unnecessary weights and other control methods during pruning and training are introduced. The training course is analyzed theoretically and the reason why DOBD algorithm can obtain a much faster training speed than the OBD algorithm and avoid overfitting effectively is given. 相似文献
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用于过程建模的BP网络的M训练法及其改进 总被引:6,自引:3,他引:3
以Sigmoid为传递函数的BP网络在过程系统工程领域已经得到了广泛的应用,但是一般的GDR训练算法在极小点附近易发生振荡,收敛速度慢。本文提出了人工神经网络M法训练的新途径,并且通过不同算例和工业实际数据建模应用证实了M算法的收敛速度大约是GDR算法的5-10倍左右,有效地提高了网络训练的速度和训练效率。 相似文献
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