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The gear designed using traditional method has large size, and probably is not the most optimal design scheme, and the design cycle is long leading to low efficiency. The relationship between the tooth shape coefficient and the number of teeth can be mapped into radial basis function neural network. Weights of hidden layer and output layer have been optimized using genetic algorithm. Finally, genetic...
As an unsupervised learning method, clustering methods plays an important role in quality data mining and various other applications. This work investigates them based on swarm intelligence, introduces a new intelligence algorithm called mussels wandering optimization (MWO) to the data clustering field, and proposes a new clustering algorithm by combining K-means clustering method and MWO. Tests on...
It has been shown that parameter varying systems with time delays can be robustly stabilized by switching control, provided that the plant's parameter varies slowly enough such that the dwell time conditions of the switched controllers can be satisfied. In this paper, the minimization of dwell time is considered, where an iterative search algorithm is developed from the singular value perspectives...
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