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- W2989696032 abstract "In this paper, a combination of Advanced Particle Swarm Optimization (APSO) and Neural Network are presented to compensate the drawbacks of both the techniques and utilize the strong attributes to form a hybrid system called Hybrid Advance Particle Swarm Optimization-Neural Network System (HAPSONNS). APSO is used for the training of the neural network. In the initial phases of the search, PSO has swift convergence for global optimum, but later it suffers from slow convergence around the global optimum position. On the contrary, the gradient method attains prior to convergence around the global optimum point, therefore, attaining better accuracy in terms of convergence. This paper elucidates the usage of APSO applied to feedforward neural network to improve the classification accuracy of the network and also decreases the network training time." @default.
- W2989696032 created "2019-12-05" @default.
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- W2989696032 date "2019-10-01" @default.
- W2989696032 modified "2023-10-18" @default.
- W2989696032 title "A Hybrid Advanced PSO-Neural Network System" @default.
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- W2989696032 doi "https://doi.org/10.1109/smc.2019.8914151" @default.
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