Fuzzy Cognitive Maps for stereovision matching
نویسندگان
چکیده
منابع مشابه
Extended Fuzzy Cognitive Maps
Fuzzy Cognitive Maps (FCMs) have been proposed to represent causal reasoning by using numeric processing. They graphically represent uncertain causal reasoning. In the resonant states, there emerges a limit cycle or a hidden pattern, which is a FCM inference. However, there are some shortcomings concerned with knowledge representation in the conventional FCMs. In this paper, we propose Extended...
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The information abstracted by humans and quite complex processes, are usually imprecise or approximate. The adopted modelling strategy is usually imprecise in nature, with no or partial knowledge of the problem, and generally expressed in linguistic terms. Thus, the use of Fuzzy Logic can help solving the ambiguities and vagueness usually faced in this kind of problems. Soft computing technique...
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Introduction Knowledge management (KM) and artificial intelligence (AI) are interconnected disciplines to discern information for information management systems. Researchers have raised issues of knowledge that are living and active. Decisions based on real life knowledge bases are subjective judgments in nature. AI has well-developed cognitive tools that can process qualitative information of ...
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This paper presents Fuzzy Cognitive Maps as an approach in modeling the behavior and operation of complex systems. This technique is the fusion of the advances of the fuzzy logic and cognitive maps theories, they are fuzzy weighted directed graphs with feedback that create models that emulate the behavior of complex decision processes using fuzzy causal relations. There are some applications in...
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Fuzzy Cognitive Maps have been introduced as a combination of Fuzzy logic and Neural Networks. In this paper a new learning rule based on unsupervised Hebbian learning and a new training algorithm based on Hopfield nets are introduced and are compared for the training of Fuzzy Cognitive Maps.
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ژورنال
عنوان ژورنال: Pattern Recognition
سال: 2006
ISSN: 0031-3203
DOI: 10.1016/j.patcog.2006.04.003