Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
9760472 | Journal of Power Sources | 2005 | 12 Pages |
Abstract
Two novel hybrid neural network models (multiplicative and additive), each consisting of an ANN component and a physical component, have been developed and compared with the full-blown ANN model. The results from the hybrid models demonstrate comparable performance (in terms of cell voltage predictions) compared to the ANN model. Additionally, the hybrid models show performance gains over the physical model alone. The additive hybrid model shows better accuracy than that of the multiplicative hybrid model in our tests.
Keywords
Related Topics
Physical Sciences and Engineering
Chemistry
Electrochemistry
Authors
Shaoduan Ou, Luke E.K. Achenie,