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Open Access

Peer-reviewed

Research Article

A neural network based computational model to predict the output power of different types of photovoltaic cells

WenBo Xiao ,

Roles Investigation, Methodology, Software, Writing – original draft

* E-mail: xiaowenbo1570@163.com (XBX); fcheng1@health.usf.edu (FC)

Affiliation Jiangxi Engineering Laboratory for Optoelectronics Testing Technology, Nanchang Hangkong University, Nanchang, China

http://orcid.org/0000-0002-4210-660X

⨯
Gina Nazario,

Roles Writing – review & editing

Affiliation Department of Pharmaceutical Science, College of Pharmacy, University of South Florida, Tampa, FL, United States of America
⨯
HuaMing Wu,

Roles Resources

Affiliation Jiangxi Engineering Laboratory for Optoelectronics Testing Technology, Nanchang Hangkong University, Nanchang, China
⨯
HuaMing Zhang,

Roles Funding acquisition

Affiliation Jiangxi Engineering Laboratory for Optoelectronics Testing Technology, Nanchang Hangkong University, Nanchang, China
⨯
Feng Cheng

Roles Formal analysis, Writing – review & editing

* E-mail: xiaowenbo1570@163.com (XBX); fcheng1@health.usf.edu (FC)

Affiliation Department of Pharmaceutical Science, College of Pharmacy, University of South Florida, Tampa, FL, United States of America
⨯

A neural network based computational model to predict the output power of different types of photovoltaic cells

WenBo Xiao,
Gina Nazario,
HuaMing Wu,
HuaMing Zhang,
Feng Cheng

x

Published: September 12, 2017
https://doi.org/10.1371/journal.pone.0184561

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