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In this paper, an extreme learning machine based Hammerstein-Wiener(H-W) model is built to identify continuous Stirred Tank Reactor(CSTR) nonlinear system. In the proposed H-W model, the two nonlinear blocks are described by two different extreme learning machine neural networks. The model parameters identification is achieve by generalized least square algorithm. The propose method can obtain more...
<?Pub Dtl?>In this paper, we present an intelligent photography system which can recommend the most user-favored view rectangle for arbitrary camera input, from a photographic compositional perspective. Automating this process is difficult, due to the subjectivity of human's aesthetics judgement and large variations of image contents, where heuristic compositional rules lack generality. Motivated...
The performance analysis of parallel system is critical for tuning, optimizing and algorithm modifying of parallel program. A formal modeling method based on TCPN is proposed in this paper, which makes it possible to organize a complicated parallel system as a set of hierarchical modules and includes a time concept to represent the time taken to execute events and further analyze the performance of...
Correctness and performance are the principal requirement of a parallel system. Due to the complicated and uncertainty, it is necessary to model it. A hierarchical TCPN model proposed in this paper can investigate on various levels of abstraction and analyze concerning performance, functional validity and correctness. It describes the parallel program and the resources respectively to bring less effect...
A similarity algorithm based on weighted hierarchical structure of XML document is brought forward. The algorithm can calculate the similarity among XML documents efficiently according to hierarchical structure. It can be powerful enough to distinguish the similar structural documents. Experimental results prove that the algorithm reduces the complexity and has fairly high performance. The approach...
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