Using back propagation neural networks for prediction of individual cell performance in a long string lead-acid peak shaving battery

Young, Richard E

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San Jose State University

Using back propagation neural networks for prediction of individual cell performance in a long string lead-acid peak shaving battery

dc:creator Young, Richard E

thesis:degree_name Master of Science (MS)

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Name thesis:degree_name: Master of Science (MS)

Author and committee

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Author dc:creator: Young, Richard E

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Identifier: https://scholarworks.sjsu.edu/etd_theses/1044
OAI record oai:identifier: https://scholarworks.sjsu.edu/do/oai/?verb=GetRecord&metadataPrefix=oai_etdms&identifier=oai%3Ascholarworks.sjsu.edu%3Aetd_theses-2040

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Harvested from: San Jose State University
Base URL: scholarworks.sjsu.edu/do/oai/
Last updated: 2026-07-27
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citation

Young, Richard E. Using back propagation neural networks for prediction of individual cell performance in a long string lead-acid peak shaving battery. https://doi.org/10.31979/etd.bb6z-pp5s

Using back propagation neural networks for prediction of individual cell performance in a long string lead-acid peak shaving battery

Degree

Author and committee

Identifiers

Chain of custody

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