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Taking Zhengzhou-Xi'an passenger dedicated line as an example, based on the analysis of the main influencing factors, a fuzzy neural networks model for predicting seismic subsidence coefficient of loess subgrade has been established. The model combines the fuzzy information optimization technology and neural network. It integrates the two theories, by making up the defects of the neural network in...
The target of this paper is to propose a hybrid combination of the three main branches of Computational Intelligence, namely Fuzzy Systems, Neural Networks and Evolutionary Computing. The function approximation properties of fuzzy J-K and D flip-flops based feedforward neural network optimized and trained with a novel evolutionary algorithm based technique; the Bacterial Memetic Algorithm with Modified...
Wireless sensor network has become the hot research field over the world since 1990 s, and the localization plays important role in WSN, however, distance measuring is the base of the localization. A novel distance measuring technology is proposed in the paper, which use fuzzy inference system trained by adaptive neural-fuzzy inference system to create the model that maps RSSI into the correct T-R...
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