Neural Information Processing and VLSI

Neural Information Processing and VLSI by Bing J. Sheu, Joongho Choi.

Neural Information Processing and VLSI provides a unified treatment of this important subject for use in classrooms, industry, and research laboratories, in order to develop advanced artificial and biologically-inspired neural networks using compact analog and digital VLSI parallel processing techni...

Full description

Saved in:
Bibliographic Details
Main Authors: Sheu, Bing J. (Author), Joongho Choi (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: New York, NY : Springer US : Imprint: Springer, 1995.
Edition:1st ed. 1995.
Series:The Springer International Series in Engineering and Computer Science, 304
Springer eBook Collection.
Subjects:
Electronic circuits.
Statistical physics.
Dynamical systems.
Electrical engineering.
Signal processing.
Image processing.
Speech processing systems.
Electronic resources (E-books)
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Table of Contents:
  • I Paradigms and Models
  • 1 Introduction
  • 2 Artificial Neural Network Algorithms
  • 3 Other Computational Intelligence Topics
  • 4 Biologically-Inspired Vision Processing
  • 5 Cellular Neural Networks
  • 6 Paralleled Hardware Annealing for Optimal Solutions
  • II VLSI Design Technology
  • 7 Design Methodologies of VLSI Neural Networks
  • 8 Analog VLSI Building Blocks
  • 9 Digital VLSI Neuroprocessors
  • III Applications and System Prototyping
  • 10 Back-Propagation Neural Networks
  • 11 Self-Organization Neural Networks
  • 12 Advanced Vision Chips and Systems
  • 13 Photonic Neural Networks
  • 14 Smart-Pixel, Cellular Neural Network, and Chaotic Chips
  • 15 Various Subsystem and System Construction Examples
  • 16 Selected Commercial Products From Industry
  • References.

Similar Items