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A hybrid model for size add-on is built in slashing process. In the hybrid model, mechanism model is master model, intelligent model is auxiliary model, and the output relationship is determined by integrated rule in output model. When either sensors break down or operation conditions are abnormal, auxiliary model will estimate output by the external input variables. This hybrid model uses adequately...
The paper presents three algorithms to retrieve the humidity profiles from the observing datasets of FENGYUN-3A (FY-3A) satellite microwave humidity sensor. Compared to widely used algorithm-BP artificial neural network (BP-ANN), the algorithms of ANN based on morelet and mexihat function can avoid the conditions of easily getting stuck in local minima and reaching convergence with long time. Especially,...
According to the application background of detecting the content of three-dimensional carbon in the city atmosphere, we study the Aerospace Sensor Networks Detection Based on Virtual Multi-antenna to improve the detection accuracy. Aerospace Sensor Networks Detection Based on Virtual Multi-antenna fuses the diversity technology, and forms the distributed Virtual multi-antenna system to overcome the...
High terraces gravels largely distribute at the lower Yangtze costal area from Jiujiang to Nanjing. Although has been focused ever since the first half of the last century, the formation of these gravels are still controversial. Heavy mineral analysis was performed on the very fine sand fraction (63-125μm) for bulk samples and heavy minerals were separated using bromoform with specific gravity of...
Accurate forecasting of dissolved gases content in power transformer oil is very significant to ensure safe work of entire power system. In order to realize accurate forecasting of these dissolved gases, particle swarm optimization-based RBF neural network (PSO-RBFNN) is proposed in the paper. Particle swarm optimization (PSO) has strong global search capability. Thus, PSO is adopted to determine...
Based on the theory of core competence, the paper analyzes construction enterprise's core competence from the perspective of knowledge capital. It establishes evaluation index system of construction enterprise's core competence, and then uses BP neural network to set the model of calculating construction enterprise's core competence. This model avoids subjectivity and uncertainty brought about by...
The induction motor is a MIMO, nonlinear and high coupling system. The reversibility of the induction motor is testified. Consequently, a pseudo-linear system is completed by constructing a neural network inverse (NNI) system and combining it with the motor system. The inverse can transform the MIMO nonlinear system into two SISO linear subsystems (i.e., rotor speed and flux subsystems). In order...
In this paper, a new method for time-series pattern finding is proposed. The time-series curve is modeled as sequence of straight lines by piecewise linear approximation and the correspondent Arctg(slopes) of the lines are obtained as samples. Classification accuracy of time-series pattern finding algorithm is improved by using artificial neural network (ANN) and hierarchical processing technology...
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