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Enhanced Machine Learning and Data Mining Methods for Analysing Large Hybrid Electric Vehicle Fleets based on Load Spectrum Data (Paperback, 1st ed. 2018) Loot Price: R2,740
Discovery Miles 27 400
Repayment Terms: R257 pm x 12*
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Enhanced Machine Learning and Data Mining Methods for Analysing Large Hybrid Electric Vehicle Fleets based on Load Spectrum...

Enhanced Machine Learning and Data Mining Methods for Analysing Large Hybrid Electric Vehicle Fleets based on Load Spectrum Data (Paperback, 1st ed. 2018)

Philipp Bergmeir

Series: Wissenschaftliche Reihe Fahrzeugtechnik Universitat Stuttgart

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Loot Price R2,740 Discovery Miles 27 400 | Repayment Terms: R257 pm x 12*

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Philipp Bergmeir works on the development and enhancement of data mining and machine learning methods with the aim of analysing automatically huge amounts of load spectrum data that are recorded for large hybrid electric vehicle fleets. In particular, he presents new approaches for uncovering and describing stress and usage patterns that are related to failures of selected components of the hybrid power-train.

General

Imprint: Springer Vieweg
Country of origin: Germany
Series: Wissenschaftliche Reihe Fahrzeugtechnik Universitat Stuttgart
Release date: December 2017
First published: 2018
Authors: Philipp Bergmeir
Dimensions: 210 x 148mm (L x W)
Format: Paperback
Pages: 166
Edition: 1st ed. 2018
ISBN-13: 978-3-658-20366-5
Categories: Books > Professional & Technical > Transport technology > Automotive technology > General
Books > Computing & IT > Applications of computing > Databases > Data mining
Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
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LSN: 3-658-20366-8
Barcode: 9783658203665

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