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- W2368130315 abstract "In order to compare the approximation performances of GRNN and RBFNN to binary functions,GRNN and RBFNN are first established through computer programming in this paper. A specific binary function is taken as an example to be approximated using the above two neural networks respectively. The simulation results show that in approximation to a binary function,compared with RBFNN,GRNN has higher precision,faster convergence speed,and better approximation ability. Thus it provides a good method to solve the problem of binary nonlinear function approximation." @default.
- W2368130315 created "2016-06-24" @default.
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- W2368130315 date "2014-01-01" @default.
- W2368130315 modified "2023-09-23" @default.
- W2368130315 title "Comparative Study on Binary Function Approximation Performances of GRNN and RBFNN" @default.
- W2368130315 hasPublicationYear "2014" @default.
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