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Based on the third generation YQH-100 multiphase rotodynamic pump independently developed as the research object, The models of BP and RBF neural network were established respectively to predict the Multiphase Rotodynamic pump energy characteristics. The 27 groups of sample data of neural networks were created by FLUENT numerical calculated. The performance data of 20 multiphase rotodynamic pumps...
Adaptive neural network-based fuzzy inference system (ANFIS) was applied to build a fault diagnosis model of automobile engine, the thesis, with the construction of ANFIS, by using gradient descent genetic algorithm and optimization of system parameters of neutral network learning algorithm, inputs the fusion data into ANFIS, the ANFIS fault diagnosis model adopts the method of information fusion...
At present, the research on evaluation of urban traffic level of service (LOS) mainly aims at the basic road section and intersection. However, it still lacks unified evaluation index and practical approach. Therefore, in this paper, we propose a method that the regional traffic LOS is evaluated by adaptive neuro-fuzzy inference system (ANFIS). ANFIS is used to emulate human's expertise on specifying...
The article starts from factors of people, vehicles, road and environment to traffic accidents, builds the three-layer BP neural network model based on the influence factors of traffic accidents, and trains and predicts the traffic accidents of 1998–2009 years in china. The results show that the BP neural networks model used to predict the traffic accidents is precise and feasible.
The per capita ecological footprint (EF) is one of the most-widely recognized measures of environmental sustainability. It tries to quantify the earth's biological capacity required to support human activity. This study at first summarize the previous literature, and then present the five factors which influenced the per capita EF, they are the nation's GDP, urbanization independent of economic development,...
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