Aplicaciones de inteligencia artificial

Las redes neuronales artificiales han sido usadas en innumerables problemas reales. Esta conferencia presenta un resumen de algunas de las aplicaciones más recientes de estas técnicas a problemas reales. Dentro de los problemas tratados están: control de prótesis, consumo de combustible en motores de combustión interna, extensión de rango en vehículos eléctricos, optimización de tráfico de vehículos y control de contaminación del aire y estimación de medidas de fruta.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech

Subgroup Discovery: Real-World Applications

Subgroup discovery is a data mining technique which extracts interesting rules with respect to a target variable. An important characteristic of this task is the combination of predictive and descriptive induction. In this paper, an overview about subgroup discovery is performed. In addition, di erent real-world applications solved through evolutionary algorithms where the suitability and potential of this type of algorithms for the development of subgroup discovery algorithms are presented

Analysing the Moodle e-learning platform through subgroup discovery algorithms based on evolutionary fuzzy systems

Nowadays, there is a increasing in the use of learning management systems from the universities. This type of systems are also known under other di erent terms as course management systems or learning content management systems. Speci cally, these systems are e-learning platforms o ering di erent facilities for information sharing and communication between the participants in the e-learning process. This contribution presents an experimental study with several subgroup discovery algorithms based on evolutionary fuzzy systems using data from a web-based education system. The main objective of this contribution is to extract unusual subgroups to describe possible relationships between the use of the e-learning platform and marks obtained by the students. The results obtained by the best performing algorithm, NMEEF-SD, are also presented. The most representative results obtained by this algorithm are summarised in order to obtain knowledge that can allow teachers to take actions to improve student performance

Subgroup Discovery trhough Evolutionary Fuzzy Systems applied to Bioinformatic problems

Subgroup discovery is a descriptive data mining technique using supervised learning. This paper presents a summary about the main properties and elements about subgroup discovery task. In addition, we will focus on the suitability and potential of the search performed by evolutionary algorithms in order to apply in the development of subgroup discovery algorithms, and in the use of fuzzy logic which is a soft computing technique very close to the human reasoning. The hybridisation of both techniques are well known as evolutionary fuzzy system. The most relevant applications of evolutionary fuzzy systems for subgroup discovery in the bioinformatics domains are outlined in this work. Specifically, these algorithms are applied to a problem based on the Influenza A virus and the accute sore throat problem

Dual-mode soft-transition control for single-phase grid-connected photovoltaic inverters

Póster presentado al 19th IEEE Workshop on Control and Modeling for Power Electronics COMPEL). Padua (Italia), 2018.Single-phase grid-connected inverters for photovoltaic power generation have been strongly analysed for improvement. Dual-mode control for two-stage inverters makes it possible to improve the efficiency by alternating between switching the dc/dc boost and the dc/ac buck stages, depending on the grid voltage value. However, according to the literature, the transition from one mode to the other is abrupt, which harms the grid current quality. This paper proposes a dual-mode control method which achieves high efficiency and a soft-transition in the grid current. Applying suitable feed-forward compensations, this control method improves the grid current quality, as demonstrated by the presented simulation results.Spanish State Research Agency (AEI) and FEDER-UE under grant DPI2016-80641-

Multiple sensor outputs and computational intelligence towards estimating state and speed for control of lower limb prostheses

For as long as people have been able to survive limb threatening injuries prostheses have been created. Modern lower limb prostheses are primarily controlled by adjusting the amount of damping in the knee to bend in a suitable manner for walking and running. Often the choice of walking state or running state has to be controlled manually by pressing a button. This paper examines how this control could be improved using sensors attached tofa the limbs of two volunteers. The signals from the sensors had features extracted which were passed through a computational intelligence system. The system was used to determine whether the volunteer was walking or running and their movement speed. Two new features are presented which identify the movement states of standing, walking and running and the movement speed of the volunteer. The results suggest that the control of the prosthetic limb could be improved

DNA sequencing and taxonomy of unusual serrate Juniperus from Mexico: Chloroplast capture and incomplete lineage sorting in J. coahuilensis and allied taxa

Analysis of nrDNA, petN-psbM, trnS-trnG, trmD-trnT, and trnF-trnL of Juniperus coahuilensis and allied taxa of Mexico found typical J. coahuilensis, as well as individuals with: coahuilensis cp and hybrid ITS; coahuilensis cp and novel ITS sequence (La Parrilla type); novel Blue Fruited cp (blue fruited taxon) and coahuilensis ITS; plus Blue Fruited cp and La Parrila ITS. nrDNA data was examined and found to detect hybridization, chloroplast capture and incomplete lineage sorting. In addition, a new taxon was found with Blue Fruited (Blue Fruited) cp and J. martinezii ITS, suggestive of chloroplast capture. New records of J. saltillensis were confirmed from Zacatecas. A new record of J. martinezii from Durango was also confirmed. Several plants affiliated with either J. martinezii, or J. flaccida were in distinct clades showing the need for additional research on their volatile leaf oils, morphology and ecology to address their taxonomic status. And lastly, a very unusual population of junipers large, single stemmed trees with aff. J. poblana was found in Nayarit, with long and pendulous foliage. Analysis of the leaf volatile oils, ecology and morphology of this taxon is necessary (in progress) to ascertain its taxonomic rank

DNA sequencing and taxonomy of unusual serrate Juniperus from Mexico: Chloroplast capture and incomplete lineage sorting in J. coahuilensis and allied taxa

Analysis of nrDNA, petN-psbM, trnS-trnG, trmD-trnT, and trnF-trnL of Juniperus coahuilensis and allied taxa of Mexico found typical J. coahuilensis, as well as individuals with: coahuilensis cp and hybrid ITS; coahuilensis cp and novel ITS sequence (La Parrilla type); novel Blue Fruited cp (blue fruited taxon) and coahuilensis ITS; plus Blue Fruited cp and La Parrila ITS. nrDNA data was examined and found to detect hybridization, chloroplast capture and incomplete lineage sorting. In addition, a new taxon was found with Blue Fruited (Blue Fruited) cp and J. martinezii ITS, suggestive of chloroplast capture. New records of J. saltillensis were confirmed from Zacatecas. A new record of J. martinezii from Durango was also confirmed. Several plants affiliated with either J. martinezii, or J. flaccida were in distinct clades showing the need for additional research on their volatile leaf oils, morphology and ecology to address their taxonomic status. And lastly, a very unusual population of junipers large, single stemmed trees with aff. J. poblana was found in Nayarit, with long and pendulous foliage. Analysis of the leaf volatile oils, ecology and morphology of this taxon is necessary (in progress) to ascertain its taxonomic rank