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Book Categories |
| Preface | ||
| 1 | A Review of Radial Basis Function (RBF) Neural Networks | 1 |
| 2 | A Novel Sequential Learning Algorithm for Minimal Resource Allocation Neural Networks (MRAN) | 21 |
| 3 | MRAN for Function Approximation & Pattern Classification Problems | 41 |
| 4 | MRAN for Nonlinear Dynamic Systems | 79 |
| 5 | MRAN for Communication Channel Equalization | 125 |
| Concluding Remarks | 191 | |
| A | Outline Source Code for MRAN in MATLAB | 193 |
| Bibliography | 205 | |
| Index | 213 |
| Price | Condition | Delivery | Seller | Action |
| $99.99 | Digital |
| WonderClub |
Ryan Townsend
reviewed Radial Basis Function Neural Networks with Sequential Learning, Progress in Neural Processing on September 17, 2016 Radial Basis Function Neural Networks with Sequential Learning, Progress in Neural Processing
Most books about neural networks are silent when it comes to less obvious details of what training feedforward networks actually does, and what the result of the network represents. This book analyzes all these details by means of statistics, and consequently gives a very solid foundation for understanding neural networks. The definitive book for feedforward neural networks - extremely good! The math-heavy treatise makes it unsuitable for a beginners book, though.
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Add Radial Basis Function Neural Networks with Sequential Learning, Progress in Neural Processing, This book presents in detail the newly developed sequential learning algorithm for radial basis function neural networks, which realizes a minimal network. This algorithm, created by the authors, is referred to as minimal resource allocation networks (MRA, Radial Basis Function Neural Networks with Sequential Learning, Progress in Neural Processing to the inventory that you are selling on WonderClubX
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Add Radial Basis Function Neural Networks with Sequential Learning, Progress in Neural Processing, This book presents in detail the newly developed sequential learning algorithm for radial basis function neural networks, which realizes a minimal network. This algorithm, created by the authors, is referred to as minimal resource allocation networks (MRA, Radial Basis Function Neural Networks with Sequential Learning, Progress in Neural Processing to your collection on WonderClub |
