Prediction of Systemic Risk Contagion Based on a Dynamic Complex Network Model Using Machine Learning Algorithm
نویسندگان
چکیده
منابع مشابه
A hybrid model based on machine learning and genetic algorithm for detecting fraud in financial statements
Financial statement fraud has increasingly become a serious problem for business, government, and investors. In fact, this threatens the reliability of capital markets, corporate heads, and even the audit profession. Auditors in particular face their apparent inability to detect large-scale fraud, and there are various ways to identify this problem. In order to identify this problem, the majori...
متن کاملDynamic Branch Prediction using Machine Learning Algorithms
Machine Learning algorithms have long been used to develop classifiers which learn patterns among the data for grouping them into classes. Using such algorithms for exploiting finer structure in the data seems to be a good way to address the problem of Dynamic branch prediction (DBP). However, not all conventional algorithms in machine learning can be directly applied to DBP, since they usually...
متن کاملDynamic Branch Prediction Using Machine Learning
Microarchitectural prediction based on machine learning has received increasing attention in recent years. The common problem is that most of the Neural Network Based Branch Predictors (NNBBP) can achieve high accuracy; however, that achievement is not big enough to offset the cost of latency. As a result, the idea of using Neural Networks (NN) to perform branch prediction is not practically us...
متن کاملThermal conductivity of Water-based nanofluids: Prediction and comparison of models using machine learning
Statistical methods, and especially machine learning, have been increasingly used in nanofluid modeling. This paper presents some of the interesting and applicable methods for thermal conductivity prediction and compares them with each other according to results and errors that are defined. The thermal conductivity of nanofluids increases with the volume fraction and temperature. Machine learni...
متن کاملThermal conductivity of Water-based nanofluids: Prediction and comparison of models using machine learning
Statistical methods, and especially machine learning, have been increasingly used in nanofluid modeling. This paper presents some of the interesting and applicable methods for thermal conductivity prediction and compares them with each other according to results and errors that are defined. The thermal conductivity of nanofluids increases with the volume fraction and temperature. Machine learni...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Complexity
سال: 2020
ISSN: 1076-2787,1099-0526
DOI: 10.1155/2020/6035372