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Alejandro Diaz-Mendez
Researcher at National Institute of Astrophysics, Optics and Electronics
Publications - 6
Citations - 71
Alejandro Diaz-Mendez is an academic researcher from National Institute of Astrophysics, Optics and Electronics. The author has contributed to research in topics: Fuzzy logic & Fuzzy set operations. The author has an hindex of 5, co-authored 6 publications receiving 69 citations.
Papers
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Book ChapterDOI
Implementation of a Linguistic Fuzzy Relational Neural Network for Detecting Pathologies by Infant Cry Recognition
TL;DR: In this paper, the implementation of a fuzzyrelational neural network model, which is tested on an infant cry classification problem, in which the objective is to identify pathologies like deafness and asphyxia in recently born babies.
Book ChapterDOI
A fuzzy relational neural network for pattern classification
TL;DR: In this paper, the implementation of a fuzzy relational neural network model is described, where the input features are represented by fuzzy membership, the weights are described in terms of fuzzy relations, and the output values are obtained with the max-min composition.
Journal ArticleDOI
Interactive educational tool for compensators design in MATLAB® using frequency response analysis
Juan Manuel Ramirez-Cortes,Vicente Alarcon-Aquino,Pilar Gomez-Gil,Alejandro Diaz-Mendez,Mariana Natalia Ibarra-Bonilla,Irma García-Enriquez +5 more
TL;DR: An educational platform developed to support the teaching of compensators design in a basic control theory course that consists of a graphical user interface in MATLAB®, and further connection to the plant under study through the data acquisition toolbox, and a data acquisition card.
Proceedings Article
Automatic estimation of parameters for the hierarchical reduction of rules of complex fuzzy controllers
TL;DR: This work is proposing a method to automatically estimate the corresponding parameters for the hierarchical rule base reduction method to be applied to fuzzy control complex systems, and the parameters are found through the use of genetic algorithms.
Journal Article
Hybrid neural network design and implementation on FPGA for infant cry recognition
TL;DR: In this article, the authors presented an Automatic Infant Cry Recognizer hybrid system, that classifies different kinds of cries, with the objective of identifying some pathologies in recently born babies.