The following publications are possibly variants of this publication:
- Stochastic parallel extreme artificial hydrocarbon networks: An implementation for fast and robust supervised machine learning in high-dimensional dataHiram Ponce, Paulo Vitor de Campos Souza, Augusto Junio Guimarães, Guillermo Gonzalez-Mora. eaai, 89:103427, 2020. [doi]
- A Comparative Analysis of Evolutionary Learning in Artificial Hydrocarbon NetworksHiram Ponce, Paulo Vitor de Campos Souza. micai 2020: 223-234 [doi]
- A Reinforcement Learning Method for Continuous Domains Using Artificial Hydrocarbon NetworksHiram Ponce, Guillermo Gonzalez-Mora, María de Lourdes Martínez-Villaseñor. ijcnn 2018: 1-6 [doi]
- Interpretability of artificial hydrocarbon networks for breast cancer classificationHiram Ponce, María de Lourdes Martínez-Villaseñor. ijcnn 2017: 3535-3542 [doi]
- Artificial Hydrocarbon Networks for Online Sales PredictionHiram Ponce, Luis Miralles Pechuán, María de Lourdes Martínez-Villaseñor. micai 2015: 498-508 [doi]
- A Novel Artificial Hydrocarbon Networks Based Value Function Approximation in Hierarchical Reinforcement LearningHiram Ponce. micai 2017: 211-225 [doi]