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Citation: Gao Wei. New evolutionary neural networks[J]. Journal of Beijing University of Aeronautics and Astronautics, 2004, 30(11): 1101-1105. (in Chinese)

New evolutionary neural networks

  • Received Date: 25 Jun 2004
  • Publish Date: 30 Nov 2004
  • Nowadays, the genetic algorithm is a main evolutionary algorithm in ev olutionary neural network study. But the previous researches show that, this kin d of evolutionary neural network model have many shortcomings, such as genetic c ode problem, genetic operation problem and restriction on structure of neural ne twork, \%et al\%. And the evolutionary programming is a good method. To overcome the shortcomings of traditional evolutionary programming, combining the immunized e volutionary programming proposed by author and BP neural network, a new evolutio nary neural network model whose architecture and connection weights evolve simul taneously was proposed. Through the typical XOR problem, the new model was compa red and analyzed with BP neural network and traditional evolutionary neural netw ork. The computing results show that the precision and efficiency of the new mod el are all good.

     

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