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One major problem in the management of the current large networks is the complexity and the enormous amount of operations required to satisfy user demands while using resources efficiently. In this study, we propose a network traffic forecasting strategy based on BP neural network (BP-NTF). First, we analyse the characteristics of network traffic and establish traffic forecasting methods based on...
The traditional stationary network traffic model (ARIMA) is incapable of describing non-stationary characteristics. In the process of predicting, the accuracy will weaken with the increase of step. As a non-stationary network traffic model, NN (neural network) could make up for the defect of stationary model, which can not describe the non-stationary qualities of the network traffic. However, the...
A new pattern recognition algorithm for class-modeling based on coupling an autoassociator artificial neural network with a SIMCA-like criterion is presented and discussed. The algorithm has been tested on different real and simulated datasets with promising results.
At present, the vast majority of the research on promotion effects at home and abroad mainly focuses on single promotion means study based on statistical methods. This paper establishes an integrated model regarding the effects of the cost invested by telecommunication operators in each promotion means on sales increase and discusses the distribution of promotion cost among various means by combining...
Neural networks recently gained attention as fast and flexible vehicles to microwave modeling, simulation and optimization. After learning and abstracting from microwave data, through a process called training, neural network models are used during microwave design to provide instant answers to the task learned. This paper presents simple and accurate ANN models for the analysis and synthesis of CPS...
An improved hybrid particle swarm optimization (PSO)-based wavelet neural network (WNN) for modeling the development of fluid dispensing for electronic packaging (MFD-EP) is presented in this paper. In modeling the fluid dispensing process, it is important to understand the process behavior as well as determine the optimum operating conditions of the process for a high-yield, low-cost, and robust...
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