Hardware Implementation of the Multifrequency Oscillation Learning Method for Analog Neural Networks

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概要

• 論文の詳細を見る

• High-speed learning of neural networks using the multifrequency oscillation method is demonstrated for first time. During the learning of an analog neural network integrated circuit implementing the `exclusive-OR' logic, weight and threshold values converge to steady states within 2 ms for a learning speed of 2 mega-patterns per second.

• 社団法人電子情報通信学会の論文
• 1993-06-25

著者

• Koga M

  Ntt Corp. Yokosuka‐shi Jpn

• Koga Masafumi

  Ntt Corporation

• Koga M

  Hitachi Ltd. Kokubunji‐shi Jpn

• Koga Masafumi

  Ntt Transmission Systems Laboratories

• Matsumoto T

  Waseda Univ. Tokyo Jpn

• Miyao H

  Ntt Optical Network Systems Lab. Yokosuka‐shi Jpn

• Miyao Hiroshi

  NTT Transmission Systems Laboratories

• Matsumoto Takao

  NTT Transmission Systems Laboratories

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• Design and Performance of Delivery and Coupling Switch Board for Large Scale Optical Path Cross-Connect System
• Hardware Implementation of the Multifrequency Oscillation Learning Method for Analog Neural Networks
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• Fast Restoration on Network Control Plane Established through Photonic MPLS Routers ( Recent Progress in Optoelectronics and Communications)
• Very-High-Speed Analog Neural Network LSI Using Super Self-Aligned Si Bipolar Process Technology

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