Reviews of Physiology, Biochemistry and Pharmacology 159
By: and and and and and and and and and and
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- Synopsis
- This volume presents a neural network architecture for the prediction of conditional probability densities - which is vital when carrying out universal approximation on variables which are either strongly skewed or multimodal. Two alternative approaches are discussed: the GM network, in which all parameters are adapted in the training scheme, and the GM-RVFL model which draws on the random functional link net approach. Points of particular interest are: - it examines the modification to standard approaches needed for conditional probability prediction; - it provides the first real-world test results for recent theoretical findings about the relationship between generalisation performance of committees and the over-flexibility of their members; This volume will be of interest to all researchers, practitioners and postgraduate / advanced undergraduate students working on applications of neural networks - especially those related to finance and pattern recognition.
- Copyright:
- 2007
Book Details
- Book Quality:
- Publisher Quality
- ISBN-13:
- 9783540738008
- Related ISBNs:
- 9783540737995
- Publisher:
- Springer Berlin Heidelberg
- Date of Addition:
- 07/15/13
- Copyrighted By:
- Springer Berlin Heidelberg
- Adult content:
- No
- Language:
- English
- Has Image Descriptions:
- No
- Categories:
- Nonfiction, Medicine
- Submitted By:
- Bookshare Staff
- Usage Restrictions:
- This is a copyrighted book.
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