Citywide Cellular Traffic Prediction Based on a Hybrid Spatiotemporal Network
نویسندگان
چکیده
منابع مشابه
Network traffic prediction based on ARFIMA model
ARFIMA is a time series forecasting model, which is an improve d ARMA model, the ARFIMA model proposed in this article is d emonstrated and deduced in detail. combined with network traffi c of CERNET backbone and the ARFIMA model,the result sho ws that,compare to the ARMA model, the prediction efficiency a nd accuracy has increased significantly, and not susceptible to sa mpling.
متن کاملTraffic Prediction Based on Improved Neural Network
Artificial neural networks and genetic algorithms derived from the corresponding simulation of biology, anatomy. The paper analyzes the advantages and the disadvantages of the artificial neural networks and genetic algorithms. The artificial neural networks and genetic algorithms to be combine in the prediction model. This method is used to predict traffic volume in a road, the accuracy of fore...
متن کاملPublic Bicycle Traffic Flow Prediction based on a Hybrid Model.dvi
In China, Hangzhou is the first city to set up the Public Bicycle System. Now, the system has been the largest bike sharing program in the world. The software of Hangzhou Public Bicycle System was developed by our team. Accurate and precise prediction of public bicycle traffic flow is important in traffic planning, design, operations, etc. According to the highly complexity, nonlinearity and un...
متن کاملA Novel Hybrid Method for Network Anomaly Detection Based on Traffic Prediction and Change Point Detection
In recent years, computer networks have become more and more advanced in terms of size, applications, complexity and level of heterogeneity. Moreover, availability and performance are important issues for end users. New types of cyber-attacks that can affect and damage network performance and availability are constantly emerging and some threats, such as Distributed Denial of Service (DDoS) att...
متن کاملNetwork Traffic Prediction based on Particle Swarm BP Neural Network
The traditional BP neural network algorithm has some bugs such that it is easy to fall into local minimum and the slow convergence speed. Particle swarm optimization is an evolutionary computation technology based on swarm intelligence which can not guarantee global convergence. Artificial Bee Colony algorithm is a global optimum algorithm with many advantages such as simple, convenient and str...
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: Algorithms
سال: 2020
ISSN: 1999-4893
DOI: 10.3390/a13010020