Network security is one of the most important issues in the field of computer science. The network intrusion may bring disaster to the network users. It is therefore critical to monitor the network intrusion to prevent the computers from attacking. The intrusion pattern identification is the key point in the intrusion detection. The use of the support vector machine (SVM) can provide intelligen...

The fast and accurate classification of surrounding rock mass is the basis for tunnel design construction has significant value in engineering applications. Therefore, this paper proposes a method classifying predicting based on particle swarm optimization (PSO)–least squares support vector machine (LSSVM). premise research that data acquired from digital drilling technology are divided into tr...

Purpose: Effort Estimation is a process by which one can predict the development time and cost to develop software or product. Many approaches have been tried this probabilistic accurately, but no single technique has consistently successful. There many studies on effort estimation using Fuzzy Machine Learning. For reason, study aims combine Learning get better results.Methods: Various methods ...

This paper proposed a gas emission prediction method based on feature selection and improved machine learning, as traditional models are neither accurate nor universally applicable. Through analysis, this identified 12 factors that affected emissions. A total of 30 groups typical data for outflow were standardized, after which full subset regression was used to categorize influencing into diffe...

As the construction of energy internet progresses, proportion residential electricity consumption in end-use is increasing, peak load on grid growing year year, and seasonal regional power supply tensions, mainly for consumption, have become common problems across country. Accurate forecasting can provide strong data support operation demand response incentive setting response. For accuracy sta...

Abstract- With the advancement and development of computer network technologies, the way for intruders has become smoother; therefore, to detect threats and attacks, the importance of intrusion detection systems (IDS) as one of the key elements of security is increasing. One of the challenges of intrusion detection systems is managing of the large amount of network traffic features. Removing un...

Network traffic is a typical time-series data with strong lag and aftereffect, for the existence of local optimum, time-consuming and other defects in the method for the currently determining number of lags, this paper presents a combination of network traffic prediction method (GS-GA-LSSVM). At first, using geo-statistics (GS) to quickly determine the optimal lag order of network traffic, then...