Roots of Backpropagation – From Ordered Derivatives to Neural Networks and Political Forecasting: Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control
Autor PJ Werbosen Limba Engleză Hardback – 3 mar 1994
- Demonstrates the ongoing value and new potential of backpropagation
- Creates a wealth of sound mathematical tools useful across disciplines
- Sets the stage for the emerging area of fast automatic differentiation
- Describes new designs for forecasting and control which exploit backpropagation
- Unifies concepts from Freud, Jung, biologists, and others into a new mathematical picture of the human mind and how it works
- Certifies the viability of Deutsch's model of nationalism as a predictive tool--as well as the utility of extensions of this central paradigm
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Specificații
ISBN-13: 9780471598978
ISBN-10: 0471598976
Pagini: 336
Dimensiuni: 156 x 234 x 21 mm
Greutate: 0.64 kg
Editura: Wiley
Seria Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control
Locul publicării:Hoboken, United States
ISBN-10: 0471598976
Pagini: 336
Dimensiuni: 156 x 234 x 21 mm
Greutate: 0.64 kg
Editura: Wiley
Seria Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control
Locul publicării:Hoboken, United States
Notă biografică
Descriere
An introduction to the concept of backpropagation, or "dynamic feedback", an algorithm developed by the author to be used in neural networking. The text initiates a body of background tools capable of generating applications across a range of fields, from engineering to political forecasting.