The average rating for Regularized Radial Basis Function Networks: Theory and Applications based on 2 reviews is 3 stars.
Review # 1 was written on 2017-04-06 00:00:00 Kevin Walter thank you |
Review # 2 was written on 2018-10-28 00:00:00 Stephen Corak 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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