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In the history of aviation industry, the safety of human and sophisticated equipment are stressed mostly. It has been demonstrated that fire disaster of fuel tank system is a key factor that threatens the aircraft safety through massive accidents. With the failure mode and effect analysis (FMEA) and fault tree analysis (FTA), the reason of fire disaster for different kind of fuel tank system and the...
Relevance feedback is an important application in information retrieval on Internet. This paper introduces a relevance feedback retrieval system to improve the searching results. The system is built on the Indri toolkit, using pseudo relevance feedback method. First, we introduce the framework of the relevance feedback system and the methods we used in each module. The main module of the system is...
To establish suitable models to describe the behavior of biochemistry systems, a new modeling method was introduced, combining multiple objective ant colony optimization(MOACO) with the dynamic Epsilon-SVM. The hyper-parameters of Epsilon-SVM were automatically decided by using multiple objective ant colony optimization(MOACO). Each training sample used different error. The model for penicillin production's...
The selection for hyper-parameters is difficult and important to the performance of least squares support vector machines (LS-SVM). The existed parameters selection algorithms, such as the analytical, algebraic techniques and particle swarm optimization (PSO) algorithm, have their own shortcomings. In this paper, the problem of model selection for LS-SVM is discussed and a new method selecting the...
Bandwidth-delay-constrained multicast routing problem is an NP-complete problem. In this paper, we propose a QoS multicast routing algorithm based on artificial fish swarm optimization. Meeting with the bandwidth-delay-constrained, the proposed algorithm can search the least-cost multicast routing tree quickly. Simulation results show that this algorithm has high reliability and good performance of...
The selection for hyper-parameters including kernel parameters and the regularization is important to the performance of least squares support vector machines (LS-SVM). The existed parameters selection algorithms, such as the analytical, algebraic techniques and particle swarm optimization (PSO) algorithm, have their own shortcomings. In this paper, the problem of model selection for LS-SVM is discussed...
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