Multi-mother Wavelet Neural Network Training Using Genetic Algorithm-Based Approach to Optimize and Improves the Robustness of Gradient-Descent Algorithms: 3D Mesh Deformation Application

Naziha Dhibi, Chokri Ben Amar. Multi-mother Wavelet Neural Network Training Using Genetic Algorithm-Based Approach to Optimize and Improves the Robustness of Gradient-Descent Algorithms: 3D Mesh Deformation Application. In Ignacio Rojas, Gonzalo Joya, Andreu CatalĂ , editors, Advances in Computational Intelligence - 15th International Work-Conference on Artificial Neural Networks, IWANN 2019, Gran Canaria, Spain, June 12-14, 2019, Proceedings, Part II. Volume 11507 of Lecture Notes in Computer Science, pages 98-108, Springer, 2019. [doi]

@inproceedings{DhibiA19,
  title = {Multi-mother Wavelet Neural Network Training Using Genetic Algorithm-Based Approach to Optimize and Improves the Robustness of Gradient-Descent Algorithms: 3D Mesh Deformation Application},
  author = {Naziha Dhibi and Chokri Ben Amar},
  year = {2019},
  doi = {10.1007/978-3-030-20518-8_9},
  url = {https://doi.org/10.1007/978-3-030-20518-8_9},
  researchr = {https://researchr.org/publication/DhibiA19},
  cites = {0},
  citedby = {0},
  pages = {98-108},
  booktitle = {Advances in Computational Intelligence - 15th International Work-Conference on Artificial Neural Networks, IWANN 2019, Gran Canaria, Spain, June 12-14, 2019, Proceedings, Part II},
  editor = {Ignacio Rojas and Gonzalo Joya and Andreu CatalĂ },
  volume = {11507},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-20518-8},
}