Back-propagation learning and nonidealities in analog neural network hardware

  title={Back-propagation learning and nonidealities in analog neural network hardware},
  author={Robert C. Frye and Edward A. Rietman and Chee C. Wong},
  journal={IEEE transactions on neural networks},
  volume={2 1},
Experimental results from adaptive learning using an optically controlled neural network are presented. The authors have used example problems in nonlinear system identification and signal prediction, two areas of potential neural network application, to study the capabilities of analog neural hardware. These experiments investigated the effects of a variety of nonidealities typical of analog hardware systems. They show that network using large arrays of nonuniform components can perform analog… CONTINUE READING