In this paper, a genetic algorithm approach with a novel mutation operator based on perturbation and local search has been proposed to solve an advanced planning and scheduling (APS) model in manufacturing supply chai...
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The difficulties of modeling complex knowledge system lie in a large quantity of knowledge rules and the difficulty in organizing rules and grasping their mutual logical relationships. This article proposed a concept ...
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Description Logics are formalisms for representing knowledge of various domains in a structured and formally well-understood way. Typically, DLs are limited to dealing with precise and well defined concepts. In this p...
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ISBN:
(纸本)9781601320254
Description Logics are formalisms for representing knowledge of various domains in a structured and formally well-understood way. Typically, DLs are limited to dealing with precise and well defined concepts. In this paper we first present a fuzzy extension of ALC and define its syntax and semantics. Then we devote to taking advantage of the expressive power and reasoning capabilities of fuzzy ALC by encoding flexible planning problems within the framework of fuzzy ALC. Both theory and experimental results have shown that our method is sound and efficient.
It is inadequate considering only one aspect of spatial information in practical problems, where several aspects are usually involved together. Reasoning with multi-aspect spatial information has become the focus of q...
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At present, qualitative spatial reasoning has become the hot issues in many research fields. The most popular models of spatial topological relations are Region Connection Calculus (RCC) and 9-intersection model. Howe...
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The existing 3D direction models approximate spatial objects either as a point or as a minimal bounding block, which decrease the descriptive capability and precision. Considering the influence of object's shape, ...
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Fuzzy neural network combines the learning capacity of artificial neural networks with the interpretability of the fuzzy systems. A novel structure learning algorithm for fuzzy neural networks (SLNN) is presented in t...
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Fuzzy neural network combines the learning capacity of artificial neural networks with the interpretability of the fuzzy systems. A novel structure learning algorithm for fuzzy neural networks (SLNN) is presented in this paper. The neurons of SLNN are created and adapted as online learning proceeds. The learning rule of SLNN is based on Hebb as well as soft competitive learning. The soft competitive learning cannot only let SLNN be able to learn from new data but also prevent it from losing the knowledge that has been learned earlier. To obtain a concise fuzzy rule, a pruning algorithm is adopted in SLNN, which does not disobey the basic design philosophy of fuzzy system. Simulations are performed on the primary benchmarks: circle-in-the-square, two spirals apart, UCI machine learning archive's synthetic control chart time series, and KDDCUP'99 data set. Compared with fuzzy ARTMAP, BP and hierarchical neuro-fuzzy quadtree (HNFQ), the fuzzy neural network achieves higher performance.
An EEG signal detection ensemble system to solve the low rate of vision detection is developed when analysis so many EEG signals. A novel FastICA method is presented, in which the independent component analysis approa...
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Color features are important to pictures and they are easy to ***, the features are widely used in content-based image retrieval (CBIR)[4][7].In the meantime, it lacks space *** this paper, color spaces are analyzed a...
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Color features are important to pictures and they are easy to ***, the features are widely used in content-based image retrieval (CBIR)[4][7].In the meantime, it lacks space *** this paper, color spaces are analyzed and YUV color space is *** and texture features are extracted in segmentation block, so there are space *** color, major segmentation block, a new kind of color quantization and a new Gray scale co-existing matrix's method are *** approach is described in detail and compared with other methods presented in the literature to deal with the same *** experiments are finished and show that the method in this paper is effective and efficient.
Geographical Information System (GIS) integrates operation and synthesis analysis of multi-factor information, satisfying the demand of high efficiency and visual performance in human computer Interaction, whereas Pee...
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