Tabish Ashfaq, Nivedha Ramesh, Nawwaf N. Kharma. A Hybrid Evolutionary Algorithm, Utilizing Novelty Search and Local Optimization, Used to Design Convolutional Neural Networks for Handwritten Digit Recognition. In Thomas Bäck, Christian Wagner 0002, Jonathan M. Garibaldi, H. K. Lam, Marie Cottrell, Juan Julián Merelo, Kevin Warwick, editors, Proceedings of the 13th International Joint Conference on Computational Intelligence, IJCCI 2021, Online Streaming, October 25-27, 2021. pages 123-133, SCITEPRESS, 2021. [doi]
@inproceedings{AshfaqRK21,
title = {A Hybrid Evolutionary Algorithm, Utilizing Novelty Search and Local Optimization, Used to Design Convolutional Neural Networks for Handwritten Digit Recognition},
author = {Tabish Ashfaq and Nivedha Ramesh and Nawwaf N. Kharma},
year = {2021},
doi = {10.5220/0010648300003063},
url = {https://doi.org/10.5220/0010648300003063},
researchr = {https://researchr.org/publication/AshfaqRK21},
cites = {0},
citedby = {0},
pages = {123-133},
booktitle = {Proceedings of the 13th International Joint Conference on Computational Intelligence, IJCCI 2021, Online Streaming, October 25-27, 2021},
editor = {Thomas Bäck and Christian Wagner 0002 and Jonathan M. Garibaldi and H. K. Lam and Marie Cottrell and Juan Julián Merelo and Kevin Warwick},
publisher = {SCITEPRESS},
isbn = {978-989-758-534-0},
}