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Neural networks technology has been applied in many fields successfully, under common implementation environment of symbol computation system, for each intelligent technique, they could just reinforce each other except for taking place. This paper will mainly discuss some hot branches in hybrid applications of intelligent techniques with neural networks technology, and its implementation. From large...
In this paper we revise the context of ldquovalue imprecisionrdquo, as part of an knowledge-based environment. We present our approach for including value imprecision as part of a non-rigid hierarchical structures of organization. This led us to introduce the concept of closure of an intuitionistic fuzzy set over a universe that has a hierarchical structure. Intuitively, in the closure of this intuitionistic...
In order to realization electronic parts product appearance quality detection control, one kind of processor based on the intelligent knowledge automatic extraction and system intelligence modeling was presented. In the processor, wavelet-fuzzy technique and neural network technique are combined. Uses the fuzzy wavelet extraction image feature, and wavelet function is used as fuzzy membership function...
The search for the ultimate architecture for cross-layer optimization in cognitive radio networks is characterized by challenges such as modularity, interpretability, imprecision, scalability, and complexity constraints. In this article we propose fuzzy logic as an effective means of meeting these challenges, as far as both knowledge representation and control implementation are concerned.
In this paper we propose a controller architecture based on our adaptive network called Fuzzy Graphic Rule Network (FGRN). In FGRN, the THEN part membership function and defuzzification steps are combined together, as a result the overall structure becomes simple. Moreover the initial setting of FGRN's parameters can be selected based on expert knowledge. FGRN's parameters can be adjusted using a...
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