Combining Artificial Neural Nets : Ensemble and Modular Multi-Net Systems /
The chapters in this volume consist of articles written by leading researchers in the field of Combining Artificial Neural Nets, and as such provide a unique coverage of the area. The techniques that are presented include ensemble-based, and modular approaches. The presentation of techniques is acco...
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| Format: | eBook |
| Language: | English |
| Published: |
London :
Springer London,
1999.
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| Series: | Perspectives in neural computing.
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| Online Access: | Connect to the full text of this electronic book |
| Summary: | The chapters in this volume consist of articles written by leading researchers in the field of Combining Artificial Neural Nets, and as such provide a unique coverage of the area. The techniques that are presented include ensemble-based, and modular approaches. The presentation of techniques is accompanied by analysis and evaluation of their relative effectiveness, and by reports of ther application to a variety of problems. The chapters make clear the effectiveness of combining in increasing performance, and the limitations of using a simple unitary net. For this reason this volume should be required reading for all those concerned with any applications of artificial neural nets where good generalisation performance is important. |
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| Item Description: | Electronic resource. |
| Physical Description: | 1 online resource (xv, 298 pages 57 illustrations) |
| Format: | Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002. |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9781447107934 (electronic bk.) 1447107934 (electronic bk.) |
| ISSN: | 1431-6854 |