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Book Categories |
| Series Editor's Introduction | ||
| Notations | ||
| 1 | Introduction | 1 |
| 2 | The Perceptron | 3 |
| 3 | Linear Autoassociative Memories | 21 |
| 4 | Linear Heteroassociative Memories | 46 |
| 5 | Error Backpropagation | 68 |
| 6 | Useful References | 87 |
| About the Authors | 90 |
| Price | Condition | Delivery | Seller | Action |
| $99.99 | Digital |
| WonderClub |
Shane Goggin
reviewed Neural Networks on August 03, 2017 Neural Networks
This book is an excellent introduction to the topic of independent component analysis. Though it covers this topic using a rigorous mathematical apparatus, it does so by repeating difficult or unusual issues many times and by giving real-worl examples.
I recommend it to everyone who is just starting to learn about ICA.
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Add Neural Networks, This book provides the first accessible introduction to neural network analysis as a methodological strategy for social scientists. The author details numerous studies and examples which illustrate the advantages of neural network analysis over other quan, Neural Networks to the inventory that you are selling on WonderClubX
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Add Neural Networks, This book provides the first accessible introduction to neural network analysis as a methodological strategy for social scientists. The author details numerous studies and examples which illustrate the advantages of neural network analysis over other quan, Neural Networks to your collection on WonderClub |
