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With the gradual implementation of intelligent network transformation substation, the industry began to pay attention from the smart substation network flow forecasting techniques. Intelligent substation network traffic anomaly event directly affects the operation of the protection device reliability, speed and agility. The paper first combination of gray theory and artificial neural network algorithm,...
Compared with traditional substation, smart substations has process layer network, which functions as the secondary circuit of traditional substation protection an d is actually equivalent to relay protection and automatic safety devices. Once an exception occurs in the network traffic of process layer, the reliability, rapidity and agility of relay protection action will be affected instantly. According...
Deep-drawn interfacial free (IF) steel is one of the important raw materials in the automotive industry. Due to the complex production processes and numerous influence factors, it is difficult to construct the predicted model between microstructure and yield strength using the quantitative mathematical method. So, it is proposed to use BP neural network to construct the model to describe the relationship...
Network attack increase day by day, which makes security defense become more and more important. In allusion to the deficiency of the existing defense software, an intelligent defense software (ISDS) is designed and its extended framework is put forward. The ISDS apperceives the environment and makes decision through self-decision system, which makes itself "know" how to adapt the circumstance...
Water content in crude oil is a very important data in oilfield production logging system. It is also an indispensable parameter for the research of its development prospect. During the process of exploitation, storage and transportation of oilfield, high accuracy measuring of water content in crude oil can optimize production parameters and improve oil recovery rate. The GRNN (general regression...
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