Feedforward Neural Network Methodology (Information Science and Statistics)

by Terrence L. Fine

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This decade has seen an explosive growth in computational speed and memory and a rapid enrichment in our understanding of artificial neural networks. These two factors provide systems engineers and statisticians with the ability to build models of physical, economic, and information-based time series and signals. This book provides a thorough and coherent introduction to the mathematical properties of feedforward neural networks and to the intensive methodology which has enabled their highly successful application to complex problems.
  • ISBN10 0387226494
  • ISBN13 9780387226491
  • Publish Date 1 January 1999
  • Publish Status Active
  • Publish Country US
  • Imprint Springer-Verlag New York Inc.
  • Format eBook
  • Pages 356
  • Language English