Internet Big Data Information Analysis and Power Intelligent Automation Risk Prediction Based on Case Based Reasoning

Abstract

The development of the Internet makes it easier to get data. However, it is more urgent to obtain effective information on the large data which is redundant. Based on the risk prediction system of power intelligent automation, this paper tries to solve the problems of enterprise risk management, and tries to make human beings free from the heavy human and mental labor. In order to solve the problem of large data analysis, this paper constructs a close triangle case based reasoning model based on the data mining technology of NT-SMOTE and the case based reasoning technology. Compare with NT-MDA, NT-Logit, NT-Probit, NT-DT, NT-SVM and other methods, the experimental results show that NT-CBR is more effective than other methods of intelligent risk prediction.

Fault Diagnosis for Vehicle on-Board Equipments of High-Speed Railway Based on GA-ANFIS Model

“…After decades of development of intelligent analysis and fault diagnosis technology, its theoretical basis has been involved in artificial intelligence, automatic control, data mining and other disciplines. The intelligent analysis and fault diagnosis models are as follows: the case-based intelligent analysis and fault diagnosis models are as follows: The inference [2] proposed the Internet big data information analysis and power intelligent risk prediction based on case-based reasoning. The main idea is to combine the data mining technology of NT-SMOTE with the case-based reasoning technology, and constructing a case-based reasoning based on closed triangle.…”