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Effectiveness forecast of especial vehicle is important in vehicle development and compare research. This paper establishes forecast model of vehicle effectiveness by factors analysis with interpretability, and RBF (radial basis function) neural networks with short training time and precise function. Secondly, the result of forecasted and original is contrasted together, then the quality and creditability...
The ultimate bearing capacity of single driven pile increases with time after pile installation, and it is of great importance to foundation design. Although various methods have been established to study this time-dependent ultimate bearing capacity of driven pile, they have different occasions for application, and the deduced results of them may differ greatly. In this paper, four typical types...
Model identification of accelerometer is one of the most pervasive problems in calibration test of accelerometer. A method of calibrating dual orthogonal accelerometers on two-axis table is presented to eliminate the effect of the angle-setting error on calibration, thus enhancing identification precision of the accelerometer. The correlation of the model coefficients of dual orthogonal accelerometers...
Many relational domains contain temporal information and dynamics that are important to model (e.g., social networks, protein networks). However, past work in relational learning has focused primarily on modeling static "snapshots" of the data and has largely ignored the temporal dimension of these data. In this work, we extend relational techniques to temporally-evolving domains and outline...
With the development of high rate data transmission technology via distribution line communication, the electric power, data, voice and video can be transferred in the same electric power distribution network, and the technology will be put in operation widely in the future. However the traditional technology of power line communication is not adaptable to the complex and harsh environment of distribution...
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