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Electric vehicle (EV) driving range directly reflects EVs' performance, safety, reliability and economy. EV has gained wide attention in recent years. However, most of researches are carried out under ideal conditions and the existing methods have numerous drawbacks. This paper presents a novel prediction method based on a least squares support vector machine (LSSVM) model with parameters γ and σ2...
It has always been a challenging task to develop a fast and an efficient incremental linear discriminant analysis (ILDA) algorithm. For this purpose, we conduct a new study for linear discriminant analysis (LDA) in this paper and develop a new ILDA algorithm. We propose a new batch LDA algorithm called LDA/QR. LDA/QR is a simple and fast LDA algorithm, which is obtained by computing the economic QR...
Utilizing feature selection in intrusion detection can remove redundant features and improve the speed of the intrusion detection system efficiently on the basis of protecting the integrity of the original data. This paper proposes a new feature selection method that is based on KNN and Tabu search algorithm. The experiment result shows that this method can remove the redundant features, and reduce...
Nowadays, foreign countries have entered the co-development stage of knowledge organization theory and practice. In the aspect of the practice of enterprise knowledge organization, there is clear gap between the domestic and overseas. In the era of knowledge economy, accelerating the development of domestic enterprise knowledge organization becomes the most urgent course in enhancing the competitive...
Ethnic Facial Feature is one of the most important face features. We create a face database of ethnic groups and extract facial features by using face recognition technology. In the feature extraction method, we adapt the algebra and geometry features from face database. In algebra features, LDA algorithm extracting the algebraic features of human face images is used. The paper also constructs a new...
It is a key factor for classifier-guided topical crawler to obtain labeled training samples. Recently, many such classifiers are trained with Web pages which are labeled manually or extracted from the open directory project (ODP), and then the classifiers judge the topical relevance of WebPages pointed to by hyperlinks in the crawler frontier. Though one can obtain labeled WebPages with comparative...
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