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In order to improve the prediction accuracy of phase controlled switching operation time, restrain overvoltage and inrush current when the circuit breaker switched on, this paper establishs BP network prediction model based on voltage and ambient temperature as the main input parameters, and weights the uncertainty influence factors such as aging and wear. In order to improve the accuracy of prediction...
In order to solve the problem of garbage treatment effectively, a control method is proposed based on Takagi-Sugeno (T-S) fuzzy neural network model after analyzing the characteristics of garbage incinerators system and the main factors affecting combustion. A T-S fuzzy neural network model for garbage incinerators control is established which utilizes BP learning algorithm for data training. Then...
“Services science”, an interdisciplinary approach to the study and a complex system in which specific arrangements of people and technologies take actions that provide value for others, is considered to be an important factor to foster service innovation and the global economy. However, “services science” is not familiar to the education circles. How does it come into being? Based on the introduction...
Based on summing up forecasting method and theory about water-inrush from floor of working face, combined with a lot of practical information analysis, the main five factors controlling water-inrush from floor are found out, which are water yield property of aquifer, water pressure, effective confining stratum thickness of mining floor, fault or broken zone and mining pressure. According to the typical...
Recommender systems have made significant progress over the last decade and several industrial-strength systems have been developed. Typically, recommender systems try to predict people's preferences and use accuracy indices such as mean absolute error to judge the performance of the algorithms. Recently, the diversity index is widely accepted as another metric. However, the ability of a recommendation...
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