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Extracting intuitive and useful information from the high-dimensional, fuzzy and complex operational simulation training data is in urgent need. In this paper, the operational simulation training data refers to the quantitative, numeric data that is usually used as the simulation results. The traditional statistical analysis methods have some limitations in clustering, visualizing and evaluating the...
Max-margin matrix factorization (M3F) has been popularly applied to collaborative filtering for personalized recommendations. The nonparametric M3F model represents the latest progress of the M3F methods, which can auto-select the number of factors by using nonparametric techniques. However, existing non-parametric M3F methods assume a collection of user rating data can be fully obtained before training,...
A computer-PLC (Programmable Logic Controller) control solution was proposed for the artificial trough rainfall simulator. The rainfall process with continuous changing intensities was simulated automatically with the control strategy. Frequency-tunable pulse signal of specified duty ratio was generated precisely using pulse module of PLC to drive nozzles oscillating at required frequency. Thus, arbitrary...
In this paper, a modified interval type-2 fuzzy T-S modeling method is applied to a heat exchange process on the equipment CE117 Process Trainer. First, subtractive clustering method combined with least square method is employed to build the type-1 fuzzy T-S model. Then the type-2 fuzzy T-S model is obtained from the type-1 model through unconstrained optimization where the Nelder-Mead Simplex method...
As a kind of promising and potential data assimilation technique to which various countries' meteorologists had attached great importance, the variational data assimilation had so far become the main development direction in meteorological data assimilation. So this paper is limited to illustrate the main idea of the variational adjoint method by constructing the variational adjoint system which here...
Cloud computing drives the design and development of diverse programming models for massive data processing. the transformer programming framework aims to facilitate the building of diverse data-parallel programming models. transformer has two layers: a common runtime system and a model-specific system. using transformer, the authors show how to implement three programming models: dryad-like data...
Recently, the studies on Computerized Adaptive Testing are very popular in Chinese Mainland. The researchers care much about details of CAT, such as the psychometric models, the methods of estimating competency, termination rules, and item selection strategies. Several Cognitive Diagnosis CATs have been designed and evaluated. As to the perspectives, more attention should be paid to differential item...
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