Neural network-based model for dual-junction solar cells
Design and development of solar cells can be substantially improved by using models which can provide accurate estimation of complex device characteristics. The artificial neural network (NN)-based models which learn from examples is an effective modeling technique that overcomes the deficiencies of...
Main Author: | Patra, Jagdish Chandra |
---|---|
Other Authors: | School of Computer Engineering |
Format: | Journal Article |
Language: | English |
Published: |
2011
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/94184 http://hdl.handle.net/10220/7097 |
Similar Items
-
Chebyshev neural network-based model for dual-junction solar cells
by: Patra, Jagdish Chandra
Published: (2011) -
Nonlinear dynamic system identification using Chebyshev functional link artificial neural networks
by: Kot, Alex Chichung, et al.
Published: (2011) -
Intelligent sensors using computationally efficient Chebyshev neural networks
by: Juhola, M., et al.
Published: (2011) -
Development of Laguerre neural-network-based intelligent sensors for wireless sensor networks
by: Patra, Jagdish Chandra, et al.
Published: (2011) -
Functional link neural network-based intelligent sensors for harsh environments
by: Patra, Jagdish Chandra, et al.
Published: (2011)