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Ace Computing and Applied Mathematics Center: Aec Research and Development Report (Classic Reprint) - Hardcover

Herbert Keller

 
9780656024223: Ace Computing and Applied Mathematics Center: Aec Research and Development Report (Classic Reprint)

Synopsis

Explore how finite automata and perceptrons shape pattern recognition, with clear, practical insights for computing and math enthusiasts.

This report presents a focused look at how machines can classify inputs, recognize geometric patterns, and solve discrimination tasks. It ties together core ideas about neurons, nerve nets, and the role of approximation in real-world automata.

  • A concrete framework for describing input, output, and state in simple automata using binary vectors.
  • Descriptions of the perceptron and generalized neuron models, with attention to timing, thresholds, and connections.
  • Ways to measure how closely an automaton matches a discrimination problem, including concepts of approximate discrimination.
  • Foundational discussions about the limits of counting in networks and the impact of design choices on accuracy.
Ideal for readers who want a structured, accessible introduction to pattern recognition machines and their mathematical foundations.

"synopsis" may belong to another edition of this title.