A spike trains encoding and decoding solution for the spiking neural networks

  • Nguyen Van Tuan Institute of Missile and Control Engineering, Le Quy Don Technical University
  • Truong Dang Khoa Institute of Missile and Control Engineering, Le Quy Don Technical University
  • Pham Trung Dung Institute of Missile and Control Engineering, Le Quy Don Technical University
  • Dinh Huu Tai Fundamental Technique Faculty, Air Force Air Defense Academy
Keywords: Spike encoding; Spike decoding; Spiking neural network; Latency encoding.

Abstract

This paper proposes a spike train encoding and decoding solution to process input and output signals for the spiking neural networks. The efficiency of the proposed solution is verified by the experimental tasks: The XOR classification problem and the aerodynamic coefficients identification of an aircraft from the data sets are recorded from flights. The results show that the proposed encoding and decoding solution has a higher convergence rate to the set values, and the mean squared error smaller than another solution is introduced in this research.

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Published
2023-11-25
Section
Research Articles