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Design of adaptive models for system identification, signal prediction, and pattern classification
| Metadata Label | Value |
|---|---|
| Author(s): | Poncet, Andreas |
| Publisher: | Unknown |
| Citation: | Poncet, Andreas. Design of adaptive models for system identification, signal prediction, and pattern classification. (1997). http://dx.doi.org/10.3929/ethz-a-001845349 |
| Document Type: | Doctoral and Habilitation Theses |
| Documents: |
Abstract
(201.48KB) |
Detailed Information
| Metadata | Description |
|---|---|
| Title | Design of adaptive models for system identification, signal prediction, and pattern classification |
| Author(s) | Poncet, Andreas |
| Publication Place | Zürich |
| Publication Date | 1997 |
| Notes | Diss. Techn. Wiss. ETH Zürich, Nr. 12211, 1997. Ref.: G. S. Moschytz ; Korref.: J. L. Massey ; Korref.: M. Hasler |
| Language | English |
| DOI | http://dx.doi.org/10.3929/ethz-a-001845349 |
| Subject(s) |
Mathematics, General Control Systems Theory, Information Theory |
| Keyword(s) |
ADAPTIVE ALGORITHMS CONTROL SYSTEMS THEORY SYSTEM IDENTIFICATION CLUSTER ANALYSIS CLASSIFICATION MATHEMATICAL STATISTICS SIGNAL PROCESSING TELECOMMUNICATIONS BAYESIAN THEORY PROBABILITY THEORY MACHINE LEARNING ARTIFICIAL INTELLIGENCE |
| Description | File Name | MIME Type | Size |
|---|---|---|---|
| Abstract |
eth-40860-01.pdf |
application/pdf | 201.48KB |
| Description | URL |
|---|---|
| NEBIS Link | http://opac.nebis.ch/F/?local_base=NEBIS&func=find-b&find_code=SYS&request=001845349 |
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E-Collection record created: Wed, 18 Feb 2009, 16:15:18 CET