Weymaere et al., 1994 - Google Patents
On the initialization and optimization of multilayer perceptronsWeymaere et al., 1994
- Document ID
- 12980433978640648873
- Author
- Weymaere N
- Martens J
- Publication year
- Publication venue
- IEEE Transactions on Neural Networks
External Links
Snippet
Multilayer perceptrons are now widely used for pattern recognition, although the training remains a time consuming procedure often converging toward a local optimum. Moreover, as the optimum network size and topology are usually unknown, the search of this optimum …
- 238000005457 optimization 0 title description 61
Classifications
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- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
- G06K9/6232—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods
- G06K9/6247—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods based on an approximation criterion, e.g. principal component analysis
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- G06N3/082—Learning methods modifying the architecture, e.g. adding or deleting nodes or connections, pruning
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- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6267—Classification techniques
- G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
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- G06K9/6267—Classification techniques
- G06K9/6279—Classification techniques relating to the number of classes
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- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
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- G06K9/6228—Selecting the most significant subset of features
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- G—PHYSICS
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- G10L15/07—Adaptation to the speaker
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