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Investigating passenger demand is essential for the taxicab business. Existing solutions are typically based on offline data collected by manual investigations, which are often dated and inaccurate for real-time analysis. To address this issue, we propose Dmodel, employing roving taxicabs as real-time mobile sensors to (i) infer passenger arriving moments by interactions of vacant taxicabs, and then...
In this present study, the orthotropic with secant modulus constitutive law of concrete has been proposed. And those developed the nonlinear layered finite element model and program to predict the data from experiments. The proposed finite element solutions result in close correlation with experimental data available for RC slab.
We propose Fuzzy ART in personal credit area to the problem which can't handle discrete variables and continuous variables together and compared the outputs with logistic regression, linear programming and the BP neural network model results. The empirical result indicates that the model of Fuzzy ART category has less error II and possesses better applicable for commercial banks.
Models of agent and ABDIDSS (ABDIDSS--distributed intelligence decision support system based on multi-agents) are defined in this paper. Approximation spaces of the agent reasoning in ABDIDSS are built up. Rough set on approximation spaces is defined. Reasoning in ABDIDSS may be realized through the means of establishing decision trees. Multi – agents comprehending to definable sets, synthesis operation...
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