Neural Network Design (2nd Edition)
Catégorie: Sciences, Techniques et Médecine, Manga
Auteur: Hagan Martin T, Demuth Howard B
Éditeur: M. A. Comley
Publié: 2019-07-06
Écrivain: Hirohiko Araki, Skye Jordan
Langue: Hongrois, Hébreu, Latin
Format: epub, eBook Kindle
Auteur: Hagan Martin T, Demuth Howard B
Éditeur: M. A. Comley
Publié: 2019-07-06
Écrivain: Hirohiko Araki, Skye Jordan
Langue: Hongrois, Hébreu, Latin
Format: epub, eBook Kindle
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11.3 Neural network models | Forecasting: Principles and - Artificial neural networks are forecasting methods that are based on simple mathematical models of the brain. The simplest networks contain no hidden layers and are equivalent to linear regressions. Figure 11.11 shows the neural network version of a linear regression with four predictors.
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Neural Networks: A Comprehensive Foundation (2nd Edition) - Provides a comprehensive foundation of neural networks, recognizing the multidisciplinary nature of the subject, supported with examples In its most general form, a neural network is a machine that is designed to model the way in which the brain performs a particular task or function of interest;
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