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作者:

Ahmad, Zohaib (Ahmad, Zohaib.) | Nie, Kaizhe (Nie, Kaizhe.) | Qiao, Junfei (Qiao, Junfei.) (学者:乔俊飞) | Yang, Cuili (Yang, Cuili.)

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摘要:

Recently, the echo state networks (ESNs) have been widely studied. In an ESN, the input weights and internal weights of reservoir are fixed after initialization, only the output weight matrix needs to be optimized. To calculate the output weights of ESN, the particle swarm optimization algorithm (PSO) with hybrid topology is proposed. The structure of the proposed PSO is mixed with regular network with strong exploration ability and scale-free network with good exploration ability. Simulation results show that the proposed ESN has good prediction performance than the traditional ESN. © 2019 IEEE.

关键词:

Engineering Particle swarm optimization (PSO) Industrial engineering

作者机构:

  • [ 1 ] [Ahmad, Zohaib]Faculty of Information Technology, Beijing University of Technology, Beijing Key Laboratory of Computational Intelligence and Intelligence System, Beijing; 100124, China
  • [ 2 ] [Nie, Kaizhe]Faculty of Information Technology, Beijing University of Technology, Beijing Key Laboratory of Computational Intelligence and Intelligence System, Beijing; 100124, China
  • [ 3 ] [Qiao, Junfei]Faculty of Information Technology, Beijing University of Technology, Beijing Key Laboratory of Computational Intelligence and Intelligence System, Beijing; 100124, China
  • [ 4 ] [Yang, Cuili]Faculty of Information Technology, Beijing University of Technology, Beijing Key Laboratory of Computational Intelligence and Intelligence System, Beijing; 100124, China

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年份: 2019

语种: 英文

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