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The gene deletion data is a type of gene expression data, which is obtained by deleting each gene consecutively from the network and measuring the fitness of the remaining network under various environmental conditions. Compared to the microarray data, the deletion data is much easier and economical to obtain. The gene tag technology has enabled the deletion data to be largely available for various...
To evaluate the effectiveness of smart grid, a new interval number fuzzy multiple attribute decision-making model based on TOPSIS and interval fuzzy theory is presented, which adapts the fuzzy AHP and interval number theory to characterize the advantages and weaknesses in the construction of smart grid, and by applying the Hausdorff distance, the relative closeness of each alternative to ideal solution...
The growth curve analysis is a hotspot in the analysis to understand the characteristics of things change over time. However, the conventional curve fitting method does not apply to the structure data obtained by repeated measurement. Although the outline design matrix computation can be used to treat the structure data in the growth curve analysis, the corresponding SAS programs are very long and...
The modeling and simulation of container terminal logistics system is rapidly developed and widely applied. This paper describes three parts of the modeling and simulation of container terminal logistics system, which includes Logistics system modeling technology, Verification Validation and Accreditation and screening test, and then the research approach and target, the primary coverage and the key...
Steel rolling process exhibits multi-variables, multi-models, nonlinear, time-varying. This paper describes a model adaptive learning method for steel rolling process control. Optimize mechanism of long self-learning and short self-learning based on model adaptive learning are proposed. Moreover, model adaptive technology based on model classification and information system classification are used...
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