Financial forecasting has become an important and challenging task for both researchers and investors. In order to improve the forecasting accuracy rate, in this paper, a modified heuristic model of fuzzy time series ...
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Fuzzy time series (FTS) is an effective method in forecasting problems due to its salient capabilities of tracking uncertainty and vagueness in observation data. However, in FTS forecasting, it is required about 5-7 i...
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Fuzzy time series (FTS) has become an effective method for forecasting some typical time series-enrollments, stock price and daily price of foreign exchange-due to its salient capacities for dealing with uncertainty, ...
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The type of the leaf vein can be a useful parameter in automatic identification of plant species. Leaf vein extraction is the precondition of discriminating the leaf vein type. In this paper a new method is presented ...
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Inspired by the certificateless public key encryption scheme proposed by Jong et al, we present a new certificateless authenticated key agreement protocol (CLAK). It is provably secure in the standard model. CLAK prot...
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This paper presents two methods for self-adapting the semantic sensitivities in a recently proposed semantics-based crossover: Semantic Similarity based Crossover (SSC) [1]. The first self-adaptation method is inspire...
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In this paper, we discuss how link stability and number of mobile nodes impact on end-to-end delay in mobile ad hoc network (MANET). We find that their relationship shows differently when there is a path between any a...
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The situation and questions of basic computer education in characteristics university are discussed firstly. Then the reform and construction of university computer-Based teaching are proposed. The paper has analyzed ...
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Entity extraction involves multi-factors, and the different factor has an impact on the answer in varying degrees, this paper presents a machine learning approach to parameter learning for entity answer. Firstly, in v...
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This paper presents an entity answer extraction method based on list web table. Firstly, extract table from page using the features of web page table and label, segment the table that includes the potential entity ans...
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