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Mathematical Problems in Engineering
Volume 2013, Article ID 531031, 13 pages
http://dx.doi.org/10.1155/2013/531031
Research Article

Artificial Hydrocarbon Networks Fuzzy Inference System

Graduate School of Engineering, Tecnológico de Monterrey, Campus Ciudad de México, 14380 Mexico City, DF, Mexico

Received 13 May 2013; Revised 25 July 2013; Accepted 1 August 2013

Academic Editor: Chen

Copyright © 2013 Hiram Ponce et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [16 citations]

The following is the list of published articles that have cited the current article.

  • Hiram Ponce, and Ma de Lourdes Martinez-Villasenor, “Interpretability of artificial hydrocarbon networks for breast cancer classification,” 2017 International Joint Conference on Neural Networks (IJCNN), pp. 3535–3542, . View at Publisher · View at Google Scholar
  • Hiram Ponce, “Bio-inspired Training Algorithms for Artificial Hydrocarbon Networks: A Comparative Study,” 2014 13th Mexican International Conference on Artificial Intelligence, pp. 162–166, . View at Publisher · View at Google Scholar
  • Hiram Ponce, Luis Ibarra, Pedro Ponce, and Arturo Molina, “A novel artificial hydrocarbon networks based space vector pulse width modulation controller for induction motors,” American Journal of Applied Sciences, vol. 11, no. 5, pp. 789–810, 2014. View at Publisher · View at Google Scholar
  • Arturo Molina, Hiram Ponce, Pedro Ponce, Guillermo Tello, and Miguel Ramírez, “Artificial hydrocarbon networks fuzzy inference systems for CNC machines position controller,” The International Journal of Advanced Manufacturing Technology, 2014. View at Publisher · View at Google Scholar
  • Hiram Ponce, Pedro Ponce, Héctor Bastida, and Arturo Molina, “A novel robust liquid level controller for coupled-tanks systems using artificial hydrocarbon networks,” Expert Systems with Applications, vol. 42, no. 22, pp. 8858–8867, 2015. View at Publisher · View at Google Scholar
  • Hiram Ponce, Pedro Ponce, and Arturo Molina, “The development of an artificial organic networks toolkit for LabVIEW,” Journal of Computational Chemistry, 2015. View at Publisher · View at Google Scholar
  • Hiram Ponce, María Martínez-Villaseñor, and Luis Miralles-Pechuán, “A Novel Wearable Sensor-Based Human Activity Recognition Approach Using Artificial Hydrocarbon Networks,” Sensors, vol. 16, no. 7, pp. 1033, 2016. View at Publisher · View at Google Scholar
  • Hiram Ponce, Luis Miralles-Pechuán, and María Martínez-Villaseñor, “A Flexible Approach for Human Activity Recognition Using Artificial Hydrocarbon Networks,” Sensors, vol. 16, no. 11, pp. 1715, 2016. View at Publisher · View at Google Scholar
  • Pedro Ponce, Hiram Ponce, and Arturo Molina, “Doubly fed induction generator (DFIG) wind turbine controlled by artificial organic networks,” Soft Computing, 2017. View at Publisher · View at Google Scholar
  • Hiram Ponce, Ernesto Moya-Albor, and Jorge Brieva, “A Novel Artificial Organic Control System for Mobile Robot Navigation in Assisted Living Using Vision- and Neural-Based Strategies,” Computational Intelligence and Neuroscience, vol. 2018, pp. 1–16, 2018. View at Publisher · View at Google Scholar
  • Hiram Ponce, and Mario Acevedo, “Design and equilibrium control of a force-balanced one-leg mechanism,” Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11289, pp. 276–290, 2018. View at Publisher · View at Google Scholar
  • Hiram Ponce, Mario Acevedo, and Noel Esparza-Duran, “A Hybrid Fuzzy-Molecular Controller Enhanced with Evolutionary Algorithms: A Case Study in a One-Leg Mechanism,” Journal of the Franklin Institute, 2019. View at Publisher · View at Google Scholar
  • Antonio Rosales, Pedro Ponce, Hiram Ponce, and Arturo Molina, “A Robust Control Scheme for Renewable-Based Distributed Generators Using Artificial Hydrocarbon Networks,” Energies, vol. 12, no. 10, pp. 1896, 2019. View at Publisher · View at Google Scholar
  • Hiram Ponce, and Ma Lourdes Martínez-Villaseñor, “Versatility of Artificial Hydrocarbon Networks for Supervised Learning,” Advances in Soft Computing, vol. 10632, pp. 3–16, 2019. View at Publisher · View at Google Scholar
  • Lin Wang, Hai Yan Yang, Shuai Wen Zhang, Hai Huang, and Jun Zhou, “Intuitionistic Fuzzy Dynamic Bayesian Network and its Application to Terminating Situation Assessment,” Procedia Computer Science, vol. 154, pp. 238–248, 2019. View at Publisher · View at Google Scholar
  • Mario Acevedo, and Hiram Ponce, “Multibody dynamics for human-like locomotion,” Design and Operation of Human Locomotion Systems, pp. 51–81, 2020. View at Publisher · View at Google Scholar