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The firing process of roller kiln consists of several sub-processes and there exists unknown complex nonlinear mapping between the sub-process set points and the final firing quality. To meet this demand, a training algorithm for the radial basis function (RBF) network using GAP method based on the “significance” of a specified neuron is proposed in the paper. The training algorithm which uses GAP...
To cope with the problems of monitoring dynamic and variable quality variation in multi-type & small batch manufacturing process, diagnosing the abnormal variation and adjusting the process at the right moment, is a difficult problem that a multi-type & small batch enterprise faces in process quality control. A dynamic process quality control mode oriented to networked manufacturing, which...
Partners selection and evaluation is one of the most vital actions of companies in a product design chain. Moreover, decision support is an important part of cooperative design. Selecting the right partner is the assurance of cooperative design. In order to improve reliability and scientificalness, a method of partner evaluation based on BP neural network and PCA is presented. An evaluation index...
The development of a dynamic decision support (D2S) system for real-time assessments of system health and fault contingency planning for jet engine is presented. The goal of the proposed D2S system is to increase engine operation autonomy level by bridging the gap between onboard prognosis & health management (PHM) system and baseline control systems. The D2S system consists of two major functions:...
Particle filters have become a viable solution to the visual tracking problem as they are well suited for state estimation in the rich visual world where non-linear, non-Gaussian distributions are common and where information from various sensor sources must be fused. This paper introduces an adaptive particle filter framework in which the numbers of particles, fusion parameters, as well as filter...
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