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Neural Networks EURASIP Workshop 1990 Sesimbra, Portugal, February 15-17, 1990. Proceedings

The EURASIP workshop contributions collected in this volume have an interdisciplinary character. The authors include psychologists, biologists, engineers and mathematicians as well as computer scientists. The volume starts with two invited papers, by George Cybenko and by Eric Baum, on the formal st...

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Bibliographic Details
Other Authors: Almeida, Luis B. (Editor), Wellekens, Christian J. (Editor)
Format: eBook
Language:English
Published: Berlin, Heidelberg Springer Berlin Heidelberg 1990, 1990
Edition:1st ed. 1990
Series:Lecture Notes in Computer Science
Subjects:
Computer Communication Networks
Computer Vision
Artificial Intelligence
Computer Networks 
Processor Architectures
Microprocessors
Special Purpose And Application-based Systems
Automated Pattern Recognition
Computers, Special Purpose
Computer Architecture
Pattern Recognition Systems
Online Access:
Collection: Springer Book Archives -2004 - Collection details see MPG.ReNa
Table of Contents:
  • When are k-nearest neighbor and back propagation accurate for feasible sized sets of examples?
  • Complexity theory of neural networks and classification problems
  • Generalization performance of overtrained back-propagation networks
  • Stability of the random neural network model
  • Temporal pattern recognition using EBPS
  • Markovian spatial properties of a random field describing a stochastic neural network: Sequential or parallel implementation?
  • Chaos in neural networks
  • The “moving targets” training algorithm
  • Acceleration techniques for the backpropagation algorithm
  • Rule-injection hints as a means of improving network performance and learning time
  • Inversion in time
  • Cellular neural networks: Dynamic properties and adaptive learning algorithm
  • Improved simulated annealing, Boltzmann machine, and attributed graph matching
  • Artificial dendritic learning
  • A neural net model of human short-term memory development
  • Large vocabulary speech recognition using neural-fuzzy and concept networks
  • Speech feature extraction using neural networks
  • Neural network based continuous speech recognition by combining self organizing feature maps and Hidden Markov Modeling
  • Ultra-small implementation of a neural halftoning technique
  • Application of self-organising networks to signal processing
  • A study of neural network applications to signal processing
  • Simulation machine and integrated implementation of neural networks
  • VLSI implementation of an associative memory based on distributed storage of information

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