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To solve the spam problem, many statistical learning methods and AIS methods have been proposed and applied. In essence, statistical learning methods and AIS methods have quite different origins, and they try to find the solutions from distinct aspects. In recent works, we proposed several hybrid methods, which combined immune theory with statistical methods in spam filtering. In this paper, we briefly...
A precise submersing navigation position is always the target pursued by underwater technology. The conventional dead reckoning (DR) algorithm normally uses Kalman filter to estimate positional errors. In the present study, soft computing-based models, such as Artificial Neural Network (ANN), have been used to compensate the reckoning error. The problem with ANN is the inevitable local extremum phenomenon...
This paper discusses how to improve the position precision of semi-closed loop servo system, which consider system performance deterioration. The degradation of position precision and dynamic response characteristics leads to the performance deterioration of the system. The support vector machine (SVM) is chosen to model and predict position error, and the predicted error is fed back to the input...
Due to the applications of high technology, a catastrophic failure of Computerized numerical control (CNC) machine tool rarely happens at normal operation conditions. Traditional reliability assessment methods based on time-to-failure distributions have the difficulty to estimate the reliability precisely. This paper presents a novel reliability assessment methodology that estimates the reliability...
Urban traffic state analysis plays an important role in the solution of traffic congestion problem. To estimate traffic state effectively is a foundational work for improving traffic condition and preventing traffic congestion. In this paper, a novel pattern-based approach is proposed to model the clustering and classification of traffic state. First, fuzzy-set clustering method is utilized to divide...
Accurate traffic flow forecasting is key to the development of intelligent transportation systems (ITS). The support vector regression (SVR) method is employed for traffic flow forecasting and the comparative results between SVR and BP model using real traffic data of SCOOT system in Dalian city is also presented in this paper. Since support vector machines have better generalization performance and...
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