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• W2891701071 abstract "This paper proposed a newly quantum-inspired Qubit neural tree network with improved Qubit neuron, cross-layer connections and distinct phase operation functions for each neurons. A hybrid evolutionary algorithm that combines the modified gene expression programming with particle swarm optimization is also introduced to obtain the optimal structure with related parameters of the Qubit neural tree network. Three nonlinear system modeling problems are selected to evaluate the effectiveness and performance of the proposed model. The simulation results indicate that the Qubit neural tree network has better nonlinear mapping and generalization ability than related methods do." @default.
• W2891701071 created "2018-09-27" @default.
• W2891701071 creator A5043652906 @default.
• W2891701071 creator A5056248574 @default.
• W2891701071 date "2018-01-01" @default.
• W2891701071 modified "2023-10-15" @default.
• W2891701071 title "Qubit Neural Tree Network With Applications in Nonlinear System Modeling" @default.
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• W2891701071 doi "https://doi.org/10.1109/access.2018.2869894" @default.
• W2891701071 hasPublicationYear "2018" @default.
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