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A model of RBF neural network (RBFNN) is framed to solve the problem of identification of nonlinear system. In order to realize the structure identification of RBFNN, a kind of hybrid parameter optimization algorithm is proposed based on optimal selection cluster algorithm and PSO. By this algorithm, it is optimally gained the hidden layer node number of RBFNN in terms of input samples. Then the structure...
Energy efficiency should be considered as a key design objective in wireless sensor networks (WSNs), since a sensor node can only be equipped with a limited energy supply. Clustering is one of the well-known design methods for managing the energy consumption in WSNs. Rotating role of cluster heads (CH) among nodes in these networks is an important issue in some of clustering methods. Directly collecting...
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