Muhammad Arif Mohamad, Habibollah Haron, Haswadi Hasan. Feature Vector-Based Artificial Neural Network Classification Model for Handwritten Character Recognition. In Hamido Fujita, Enrique Herrera-Viedma, editors, New Trends in Intelligent Software Methodologies, Tools and Techniques - Proceedings of the 17th International Conference SoMeT_18, Granada, Spain, 26-28 September 2018. Volume 303 of Frontiers in Artificial Intelligence and Applications, pages 409-422, IOS Press, 2018. [doi]
@inproceedings{MohamadHH18,
title = {Feature Vector-Based Artificial Neural Network Classification Model for Handwritten Character Recognition},
author = {Muhammad Arif Mohamad and Habibollah Haron and Haswadi Hasan},
year = {2018},
doi = {10.3233/978-1-61499-900-3-409},
url = {https://doi.org/10.3233/978-1-61499-900-3-409},
researchr = {https://researchr.org/publication/MohamadHH18},
cites = {0},
citedby = {0},
pages = {409-422},
booktitle = {New Trends in Intelligent Software Methodologies, Tools and Techniques - Proceedings of the 17th International Conference SoMeT_18, Granada, Spain, 26-28 September 2018},
editor = {Hamido Fujita and Enrique Herrera-Viedma},
volume = {303},
series = {Frontiers in Artificial Intelligence and Applications},
publisher = {IOS Press},
isbn = {978-1-61499-900-3},
}