Genetic based training of two-layer, optoelectronic neural network

Genetic based training of two-layer, optoelectronic neural network

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For the first time, the supervised training of a high-speed, two-layer, optoelectronic neural network using a genetic algorithm is demonstrated, and results for the 3 bit exclusiveor function are presented.


    1. 1)
      • N. Barnes , P. Healey , P. Mckee , A.W. O'Neill , M.A.Z. Rejman-Greene , E.G. Scott , R.P. Webb , D. Wood . High speed optoelectronic neural network. Electron. Lett. , 1110 - 1112
    2. 2)
      • D. Wood . Training high-speed opto-electronic neural network hardware. Opt. Commun. , 236 - 240
    3. 3)
      • N. Barnes , A.W. O'Neill , D. Wood . Rapid, supervised training of a two-layer, opto-electronic neural network using simulation annealing. Opt. Commun.
    4. 4)
      • J.H. Holland . (1975) , Adaption in natural artificial systems.
    5. 5)
      • M.P. Dames , R.J. Dowling , P. Mckee , D. Wood . Efficient optical elements to generate intensity weighted spot arrays: design fabrication. Appl. Opt. , 19 , 2685 - 2691

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