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Automatic Design of Spiking Neural P Systems

  • Gexiang Zhang,
  • Sergey Verlan,
  • Tingfang Wu,
  • Francis George C. Cabarle,
  • Jie Xue,
  • David Orellana-Martín,
  • Jianping Dong,
  • Luis Valencia-Cabrera,
  • Mario J. Pérez-Jiménez

摘要

Like the toolbox of artificial neural networks (ANNs) for producing successful ANNs satisfying users’ requirements, the automatic design of an spiking neural P system (SNP system) is to develop a methodology for generating successful SNP systems meeting designers’ requirements, aiming to solve the programmability problem of an SNP system. This is a very complicated and challenging task. This chapter first explains the automatic design of an SNP system and then states the problem on the automatic design of an SNP system. The design algorithm is subsequently described and arithmetic operations with SNP systems are taken as examples to discuss the algorithms. Concluding remarks will be finally given.