Titlebook: Emerging Intelligent Computing Technology and Applications. With Aspects of Artificial Intelligence; 5th International Co De-Shuang Huang,K

patella

,Krallen-, Klauen- und Hufveränderungen,l fuzzy classification function are triangle fuzzy number. First, the fuzzy classification problem is formulated as a fuzzy chance constrained programming. Then, we transform this programming into its equivalence quadratic programming. Final, a fuzzy support vector classification algorithm is propos

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https://doi.org/10.1007/978-90-313-8585-0f software lifecycle. Early prediction models based on design and code metrics are difficult to develop because precise values of the model inputs are not available. Conventional prediction techniques require exact inputs, therefore such models cannot always be used for early predictions. Innovative

Heart-Attack

Friedrich Schreiber,Michael Wolffsohns. Query expansion is an efficient method for dealing with this task. In this paper, variable precision concept(VPC) based on formal concept analysis(FCA) is firstly proposed and its properties are discussed. Then a new strategy of expanding query terms based on VPC is proposed. According to this ne

有杂色

Friedrich Schreiber,Michael Wolffsohner ship degrees, seven calculating methods of similarity degree for intuitionistic fuzzy, i.e., max-min, maximal-minimum, arithmetic mean minimum, geometric mean minimum, Hamming distance, Euclidean distance and correlative coefficient, are proposed and applied to radar target identification, this f

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angina-pectoris

A SOM Based Stereo Pair Matching Algorithm for 3-D Particle Tracking Velocimetrys. In this process every particle image in the left-camera frame should be paired with the most probably correct partner in the right-camera frame or vice versa for evaluating the exact coordinate. In the present work, the performance of the stereoscopic particle pairing is improved by applying prop

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他一致

Spam Detection Based on a Hierarchical Self-Organizing Maphan a single SOM since it is adapted to input data, mirroring inherent hierarchical relations among them. The adaptation process of the GHSOM architecture is controlled by two parameters. However, these parameters have to be established in advance and this task is not always easy. In this paper, a n

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