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Least Squares Support Vector Machines(LSSVM) regression principle and sparsity configuration were introduced. In this paper online dynamic modeling based on Sparse LSSVM(SLSSVM) was proposed for wood drying process with strong coupling and nonlinear characteristics. The sample data of Fraxinus mandshurica in the speed-down drying stage were gathered in the experiments of a downscaled industrial wood...
N-(2-chloroethyl)-N′-cyclohexyl-N-nitrosoureas (CCNUs) are widely applied as antitumor agents. However, researches have indicated that their decomposition products are inclined to cause secondary cancer. Hence it is necessary to probe into both carcinogenic and anticancer mechanism of such compounds so that effective anticancer drugs with lower toxicity can be obtained. In the present work, the DFT-B3LYP...
Traditional English text chunking approach is to identify phrases using only one model and same features. It is shown that one model could not consider each phrasepsilas characteristics, and same features are not suitable to all phrases. In this paper, a multi-agent text chunking model is proposed. This model uses individual sensitive features of each phrase to identify different phrases. Through...
Video data compression is one the core technologies of video conference, which aims to enable significantly high performance data coding. In order to achieve this, a robust rate-distortion optimization (RDO) technique is needed to be employed to select the best coding mode This paper presents optimization solution about inter prediction mode decision algorithm of H.264/AVC for video conference under...
These instructions give you basic guidelines for preparing papers for conference proceedings. This paper put forward a kind of new method aimed at identification of Hammerstein models in nonlinear system. With the analysis of the problem of sparseness that based on least square support vector machine (LS-SVM), the predictive output function of static nonlinear loop was obtained, and applied state...
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