Adaptive Learning of Polynomial Networks
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"Adaptive Learning of Polynomial Networks" by Nikolay Nikolaev, Hitoshi Iba is a book focused on Devices & Sensors. Best for readers interested in this subject.
This book delivers theoretical and practical knowledge for developing algorithms that infer linear and non-linear multivariate models, providing a methodology for inductive learning of polynomial neural network models (PNN) from data. The text emphasizes an organized model identification process by which to discover models that generalize and predict well. The book further facilitates the discovery of polynomial models for time-series prediction.
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"Adaptive Learning of Polynomial Networks" by Nikolay Nikolaev, Hitoshi Iba is a book focused on Devices & Sensors. Best for readers interested in this subject.
Topic: Devices & Sensors
Author: Nikolay Nikolaev, Hitoshi Iba
Who this is for:
- Students
- Educators
- Interested readers
Why this book matters: It offers useful subject matter and structured coverage for readers looking to explore the topic in more depth.
This book delivers theoretical and practical knowledge for developing algorithms that infer linear and non-linear multivariate models, providing a methodology for inductive learning of polynomial neural network models (PNN) from data. The text emphasizes an organized model identification process by which to discover models that generalize and predict well. The book further facilitates the discovery of polynomial models for time-series prediction.
| Author | Nikolay Nikolaev, Hitoshi Iba |
| Publisher | Springer |
| Published | 2011-02-11 |
| ISBN-13 | 9781441940605 |
| Binding | Paperback |
| Language | English |
| Subjects | Computers |
| Topic | Devices & Sensors |
| Series | Genetic and Evolutionary Computation |
Format: Paperback
Language: English
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