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By merging the feed forward neural network, the competitive learning algorithm and the fuzzy control, the neural network-based adaptive fuzzy control algorithm is proposed. This system can produce more reasonable fuzzy rules by the competitive (clustering) algorithm, and control the object by the optimized fuzzy rules. The analysis of the system, the experimental result and considerations are given.
The influence of time delay and noise on critical coupling parameter in the synchronization of small world neural networks is investigated. We find that the time delay and noise play important role in synchronization of this extended system. We find that the time delay presents, the quality of the synchronization of neural network worsens. However, the present of noise results more worsens in the...
Two novel wavy electromagnetic bandgap (EBG) structures have been proposed and applied to power/ground plane pairs for ultra-wideband ground bounce noise (GBN) suppression. The proposed two designs have shown good performance. The -40 dB suppression bandwidth of the first design is from 344 MHz to 20 GHz. For the second design, the -49 dB suppression bandwidth is from 304 MHz to 20 GHz. Both results...
Intuitionistic fuzzy set (IFS) is a generalization of fuzzy set by introducing an additional attribute parameter called non-membership degree. In this paper, an intuitionistic fuzzy associative memory (IFAM) network is proposed by combining IFS with associative memory network. Based on Goumldel fuzzy implication operator and its dual fuzzy co-implication operator, a learning rule for multiple intuitionistic...
The data of welding seam width and height were obtained by TIG welding experiments. Two models were established using BP neural networks: One can predict the weld seam dimensions by inputting the welding parameters, and the other model can perform oppositely. Originally by inputting given welding seam dimensions to the model one, the welding parameters can be predicted. Then change the parameters...
Q-Learning can successfully solve the congestion problem of isolated intersection. But it is not available to realize the coordination between two intersections. A switching-model of two intersections is introduced in this paper. The concept of combinative phase is put forward in order to divert two intersections into a single one. In this way, we can apply Q-Learning on two adjacent intersections...
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