• 471 Citations
  • 12 h-Index
20002019
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Personal profile

Research Interests

APLICACIONES DE LA INFORMATICA, CIENCIAS DE LA COMPUTACION, CIENCIAS DE LA TECNOLOGIA, CIENCIAS DE LA INGENIERÍA

SNI Level

  • SNI 1

EDI

  • EDI 8

Fingerprint Dive into the research topics where Marco Antonio Moreno Armendáriz is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

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Manipulators Engineering & Materials Science
Visual servoing Engineering & Materials Science
Nonlinear systems Engineering & Materials Science
Learning algorithms Engineering & Materials Science
Fuzzy neural networks Engineering & Materials Science
Field programmable gate arrays (FPGA) Engineering & Materials Science
Controllers Engineering & Materials Science
Identification (control systems) Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2000 2019

1 Citation (Scopus)
Ontology
Topology
13 Citations (Scopus)

A novel recurrent neural network soft sensor via a differential evolution training algorithm for the tire contact patch

Duchanoy, C. A., Moreno-Armendáriz, M. A., Urbina, L., Cruz-Villar, C. A., Calvo, H. & de, J., 26 Apr 2017, In : Neurocomputing. p. 71-82 62 p.

Research output: Contribution to journalArticleResearchpeer-review

Recurrent neural networks
Tires
Suspensions
Sensors
Railroad cars

Concurrent optimization on the powertrain of robot manipulators for optimal motor selection and control in a point-to-point trajectory planning

Padilla-Garcia, E. A., Cruz-Villar, C. A., Rodriguez-Angeles, A. & Moreno-Armendáriz, M. A., 1 Dec 2017, In : Advances in Mechanical Engineering.

Research output: Contribution to journalArticleResearchpeer-review

Powertrains
Manipulators
Trajectories
Robots
Planning
1 Citation (Scopus)

Forecasting, clustering and patrolling criminal activities

Calvo, H., Godoy-Calderón, S., Moreno-Armendáriz, M. A. & Martínez-Hernández, V. M., 1 Jan 2017, p. 697-720. 624 p.

Research output: Contribution to conferencePaperResearch

Crime
Forecasting
Clustering
Inductive Learning
Combinatorial Algorithms

Advances in Neural Networks and Hybrid-Metaheuristics: Theory, Algorithms, and Novel Engineering Applications

Moreno-Armendáriz, M. A., Hagan, M., Alba, E., Rubio, J. D. J., Cruz-Villar, C. A. & Leguizamón, G., 1 Jan 2016, In : Computational Intelligence and Neuroscience.

Research output: Contribution to journalEditorialResearch