Special Issue: Artificial Intelligence and Pattern Recognition

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Speed up Training of the Recurrent Neural Network Based on Constrained optimization Techniques

Chen Ke; Bao Weiquan; Chi Huisheng;   

  1. National Laboratory of Machine Perception and Center for Information SciencePeking University; Beijing 100871;
  • Online:1996-11-10 Published:1996-11-10

In this paper, the constrained optimization technique for a substantial prob-lem is explored, that is accelerating training the globally recurrent neural net-work. Unlike most of the previous methods in feedforward neuxal networks, the authors adopt the constrained optimization technique to improve the gradiellt-based algorithm of the globally recuxrent neural network for the adaptive learn-ing rate during training. Using the recurrent network with the improved algo-rithm, some experiments in two real-world…

Key words: 3-D interconnect parasitic capacitance extraction; IBEM (indirect boundary element method); electronic design automation; parasitic parameter extraction; VLSI simulation verification;

[1] Nerrand.O et al. Training recurrent neural networks: Why and how An illustration in dynamical processing modeling. IEEE Trans.on Neural Networks, 1994, 5(2): 178-184.

[2] Williams.R.J et al. Gradient-Based Learning Algorithm for Recurrent Networks. In Back-Propagation Theory: Architectures and Applications, Chauvin Y et al.(eds.), Hillsdale, NJ: Erbaum, 1991.

[3] Chan.L.W et al. An Adaptive Training Algorithm for Backpropagation Networks. Computer Speech and Language 2, 1987, pp. 205-218. ………….
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