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Predictive Modular Neural Networks
Petridis, Vassilios; Kehagias, Athanasios
€ 121.88
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Description for Predictive Modular Neural Networks
Paperback. Series: The Springer International Series in Engineering and Computer Science. Num Pages: 325 pages, biography. BIC Classification: GPJ; PH; URY; UY. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 17. Weight in Grams: 510.
The subject of this book is predictive modular neural networks and their ap plication to time series problems: classification, prediction and identification. The intended audience is researchers and graduate students in the fields of neural networks, computer science, statistical pattern recognition, statistics, control theory and econometrics. Biologists, neurophysiologists and medical engineers may also find this book interesting. In the last decade the neural networks community has shown intense interest in both modular methods and time series problems. Similar interest has been expressed for many years in other fields as well, most notably in statistics, control theory, econometrics etc. There is ... Read more
The subject of this book is predictive modular neural networks and their ap plication to time series problems: classification, prediction and identification. The intended audience is researchers and graduate students in the fields of neural networks, computer science, statistical pattern recognition, statistics, control theory and econometrics. Biologists, neurophysiologists and medical engineers may also find this book interesting. In the last decade the neural networks community has shown intense interest in both modular methods and time series problems. Similar interest has been expressed for many years in other fields as well, most notably in statistics, control theory, econometrics etc. There is ... Read more
Product Details
Format
Paperback
Publication date
2012
Publisher
Springer-Verlag New York Inc. United States
Number of pages
325
Condition
New
Series
The Springer International Series in Engineering and Computer Science
Number of Pages
314
Place of Publication
New York, NY, United States
ISBN
9781461375401
SKU
V9781461375401
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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