全球最大网络数据提供商IDC公司(INTENATIONAL DATA COR-PORATION)最新预测,拉美地区在2004年将面临信息技术人才奇缺的问题,短缺人数达47.5万。 报告指出,拉美地区信息网络人才目前已呈现出供不应求的趋势,并且短缺人数将以每年9％的...全球最大网络数据提供商IDC公司(INTENATIONAL DATA COR-PORATION)最新预测,拉美地区在2004年将面临信息技术人才奇缺的问题,短缺人数达47.5万。 报告指出,拉美地区信息网络人才目前已呈现出供不应求的趋势,并且短缺人数将以每年9％的速度增长。到2004年,拉美地区国家将需要67.5万信息技术人才。展开更多
A selective moving window partial least squares(SMW-PLS) soft sensor was proposed in this paper and applied to a hydro-isomerization process for on-line estimation of para-xylene(PX) content. Aiming at the high freque...A selective moving window partial least squares(SMW-PLS) soft sensor was proposed in this paper and applied to a hydro-isomerization process for on-line estimation of para-xylene(PX) content. Aiming at the high frequency of model updating in previous recursive PLS methods, a selective updating strategy was developed. The model adaptation is activated once the prediction error is larger than a preset threshold, or the model is kept unchanged.As a result, the frequency of model updating is reduced greatly, while the change of prediction accuracy is minor.The performance of the proposed model is better as compared with that of other PLS-based model. The compromise between prediction accuracy and real-time performance can be obtained by regulating the threshold. The guidelines to determine the model parameters are illustrated. In summary, the proposed SMW-PLS method can deal with the slow time-varying processes effectively.展开更多
文摘全球最大网络数据提供商IDC公司(INTENATIONAL DATA COR-PORATION)最新预测,拉美地区在2004年将面临信息技术人才奇缺的问题,短缺人数达47.5万。 报告指出,拉美地区信息网络人才目前已呈现出供不应求的趋势,并且短缺人数将以每年9％的速度增长。到2004年,拉美地区国家将需要67.5万信息技术人才。
基金Supported by the National Natural Science Foundation of China(61203133,61203072)the Open Project Program of the State Key Laboratory of Industrial Control Technology(ICT1214)
文摘A selective moving window partial least squares(SMW-PLS) soft sensor was proposed in this paper and applied to a hydro-isomerization process for on-line estimation of para-xylene(PX) content. Aiming at the high frequency of model updating in previous recursive PLS methods, a selective updating strategy was developed. The model adaptation is activated once the prediction error is larger than a preset threshold, or the model is kept unchanged.As a result, the frequency of model updating is reduced greatly, while the change of prediction accuracy is minor.The performance of the proposed model is better as compared with that of other PLS-based model. The compromise between prediction accuracy and real-time performance can be obtained by regulating the threshold. The guidelines to determine the model parameters are illustrated. In summary, the proposed SMW-PLS method can deal with the slow time-varying processes effectively.
