Neural network based on improved parallel bat algorithm and its application
Date
2021
Authors
Zhao, Z.Q.
Liu, S.J.
Xu, L.
Pan, J.S.
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Journal article
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Journal of Network Intelligence, 2021; 6(3):428-439
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Abstract
The artificial neural network is a research hotspot emerging in the field of artificial intelligence. Back Propagation (BP) neural network plays an important role in neural network. The network has the disadvantages of slow convergence of learning algorithms and easy falling into a local minimum. In this paper, a parallel bat algorithm with a new communication strategy is proposed, which is used to optimize the weights and thresholds of the BP neural network and establish the improved PBA-BP model. It was applied to optimize the parameters of the PID controller. Finally, we verified the effectiveness of the proposed method through the simulations.
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Copyright 2021 Taiwan Ubiquitous Information