Skip to main content
SpringerLink
Log in

INNC 90 PARIS

Volume 2 International Neural Network Conference July 9–13, 1990 Palais Des Congres - Paris - France

  • Book
  • © 1990

Overview

Authors:
  1. The International Neural Network Society (INNS), the IEEE Neural Network Council Cooperating Societies
    View author publications

    You can also search for this author in PubMed   Google Scholar

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (190 chapters)

  1. Electronic Neurocomputers

    1. Poster Presentation

      1. Digital Neurocomputers Oriented to a VLSI -Realization
        • Kalyayev Anatoly Vasilyevich
        Pages 600-600

  2. Optical Neurocomputers

    1. Front Matter

      Pages 601-601
      Download chapter PDF

    2. Oral Presentation

      1. Network Analysis of an Optically Implemented Connectionist Architecture
        • Michael G. Robinson, Kristina M. Johnson, Lin Zhang
        Pages 603-606
      2. Optical Disk Based Processor for Handwritten Character Recognition
        • M. A. Neifeld, S. Kobayashi, A. A. Yamamura, D. Psaltis
        Pages 607-610
      3. Optical Implementation of Neural Networks with Fixed Global Interconnection and Local Adaptive Gain-Control
        • Bo-Yun Koh, Yung-Wan Kwon, Hyuek-Jae Lee, Soo-Young Lee, Sang-Yung Shin
        Pages 611-614
      4. Optical Neural Networks Using Electron Trapping Materials
        • S. Jutamulia, G. M. Storti, J. Lindmayer
        Pages 615-618
      5. Learning experiment using erasable optically stimulable phosphor in optical neural network
        • Ken-ichi Kitayama, Fumihiko Itoh, Yasuaki Tamura
        Pages 619-622

  3. Implementation of Neural Networks Algorithms on Parallel Hardware

    1. Front Matter

      Pages 625-625
      Download chapter PDF

    2. Oral Presentation

      1. The Cognitive Challange for Neural Architectures
        • Igor Aleksander, Helen Morton
        Pages 627-630
      2. Implementation of Back-Propagation on a VLSI Asynchronous Cellular Architecture
        • Bernard Faure, Guy Mazare
        Pages 631-634
      3. VLSI Implementation of a Neural Associative Memory and its Application to Vector Quantization
        • Rodney M. Goodman, Tzi-Dar Chiueh
        Pages 635-638
      4. Implementing Semantic Networks in an Electronic Neural Network
        • Yuzo Hirai, Qing Ma
        Pages 639-642
      5. Kohonen Networks on Transputers: Implementation and Animation
        • H. P. Siemon, A. Ultsch
        Pages 643-646
      6. A Parallel Boltzmann Machine Simulator for Distributed Memory Multiprocessor Systems
        • A. Ferscha
        Pages 647-650
      7. Optical Character Recognition and Neural-Net Chips
        • Y. Le Cun, L. D. Jackel, H. P. Graf, B. Boser, J. S. Denker, I. Guyon et al.
        Pages 651-655
      8. Exploiting the Inherent Parallelism of Artificial Neural Networks to Achieve 1300 Million Interconnects per Second
        • Alexander Singer
        Pages 656-660
      9. Bachus: A VLSI Architecture for a Large Binary Associative Memory
        • Martin Huch, Werner Poechmueller, Manfred Glesner
        Pages 661-664
      10. A Reconfigurable Architecture for a VLSI Implementation of Artificial Neural Networks
        • Bo Jin, Belgacem Raggad
        Pages 665-668
Back to top

Keywords

About this book

Neural Networks have been the theater of a dramatic increase of activities in the last five years. The interest of mixing results from fields as different as neurobiology, physics (spin glass theory), mathematics (linear algebra, statistics ... ), computer science (software engineering, hardware architectures ... ) or psychology has attracted a large number of researchers to the field. The perspective of dramatic improvements in many applications has lead important companies to launch new neural network programs and start-ups have mushroomed to address this new market. Throughout the world large programs are being set-up: in Japan the government has committed more than $18 million per year to its 20 year Human Frontier Science program; the DARPA and the US Navy have alloted more than $10 million per year each and other US government agencies are contributing to important but less ambitious programs. Neural networks are also a major research are in the supercomputing initiative. Europe has from the beginning taken an active part in funding major projects in the new field with BRAIN, BRA, ANNIE and PYGMALION (Esprit). Approximately $20 million has been invested to date since 1988 and new programs of nearly $30 million are being funded for the next 3 years. National projects in certain countries may globally double these amounts. Neural network conferences are attracting larger audiences than ever before. Prior to 1987 attendance never surpassed 300. The June 1989 IJCNN conference in Washington had over 2200 participants.

Bibliographic Information

Publish with us

Policies and ethics

Back to top

Search

Navigation