Zobrazeno 1 - 10 of 55 pro vyhledávání: '"Rodolfo Pazos"'
1
Akademický článek
Hybrid Fuzzy C-Means Clustering Algorithm, Improving Solution Quality and Reducing Computational Complexity
Autor: Joaquín Pérez-Ortega, Carlos Fernando Moreno-Calderón, Sandra Silvia Roblero-Aguilar, Nelva Nely Almanza-Ortega, Juan Frausto-Solís, Rodolfo Pazos-Rangel, Alicia Martínez-Rebollar
Publikováno v: Axioms, Vol 13, Iss 9, p 592 (2024)
Fuzzy C-Means is a clustering algorithm widely used in many applications. However, its computational complexity is very large, which prevents its use for large problem instances. Therefore, a hybrid improvement is proposed for the algorithm, which co
Externí odkaz: https://doaj.org/article/383e3fb86ead48eea6734626c357d926
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2
Akademický článek
A New Criterion for Improving Convergence of Fuzzy C-Means Clustering
Autor: Joaquín Pérez-Ortega, Carlos Fernando Moreno-Calderón, Sandra Silvia Roblero-Aguilar, Nelva Nely Almanza-Ortega, Juan Frausto-Solís, Rodolfo Pazos-Rangel, José María Rodríguez-Lelis
Publikováno v: Axioms, Vol 13, Iss 1, p 35 (2024)
One of the most used algorithms to solve the fuzzy clustering problem is Fuzzy C-Means; however, one of its main limitations is its high computational complexity. It is known that the efficiency of an algorithm depends, among other factors, on the st
Externí odkaz: https://doaj.org/article/5e5a230dd06948829d18bd483487c356
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3
Akademický článek
Influence of Transfer Entropy in the Short-Term Prediction of Financial Time Series Using an ∊-Machine
Autor: José Crispín Zavala-Díaz, Joaquín Pérez-Ortega, Nelva Nely Almanza-Ortega, Rodolfo Pazos-Rangel, José María Rodríguez-Lelís
Publikováno v: Entropy, Vol 24, Iss 8, p 1049 (2022)
Predicting the values of a financial time series is mainly a function of its price history, which depends on several factors, internal and external. With this history, it is possible to build an ∊-machine for predicting the financial time series. T
Externí odkaz: https://doaj.org/article/cf7a280f9bde465d8fd8031148d746b7
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4
Akademický článek
Application of Data Science for Cluster Analysis of COVID-19 Mortality According to Sociodemographic Factors at Municipal Level in Mexico
Autor: Joaquín Pérez-Ortega, Nelva Nely Almanza-Ortega, Kirvis Torres-Poveda, Gerardo Martínez-González, José Crispín Zavala-Díaz, Rodolfo Pazos-Rangel
Publikováno v: Mathematics, Vol 10, Iss 13, p 2167 (2022)
Mexico is among the five countries with the largest number of reported deaths from COVID-19 disease, and the mortality rates associated to infections are heterogeneous in the country due to structural factors concerning population. This study aims at
Externí odkaz: https://doaj.org/article/396910b898ab40dd8dc8fb434de00496
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5
Influence of Transfer Entropy in the Short-Term Prediction of Financial Time Series Using an ∊-Machine
Autor: Rodríguez-Lelís, José Crispín Zavala-Díaz, Joaquín Pérez-Ortega, Nelva Nely Almanza-Ortega, Rodolfo Pazos-Rangel, José María
Publikováno v: Entropy; Volume 24; Issue 8; Pages: 1049
Predicting the values of a financial time series is mainly a function of its price history, which depends on several factors, internal and external. With this history, it is possible to build an ∊-machine for predicting the financial time series. T
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=multidiscipl::6dc0e2b877adcb4a1b55f229314ed4f1
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8
Prioritization of Elements Selection in Order-Picking Problems Through a Preference Model Influenced by Personality
Autor: Nelson Rangel-Valdez, María Lucila Morales-Rodríguez, Jorge Castro-Rivera, Laura Cruz-Reyes, A R Rodolfo Pazos
In the purchase of products, a warehouse is an integral part between producers and customers, where the order picking is one of several operations involved. This chapter highlights the prioritization of the selection of the elements that make up an o
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::fa17b3a2383d2dfcf25d912c378c676f
https://doi.org/10.4018/978-1-5225-8131-4.ch006
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9
Issues in Querying Databases with Design Anomalies Using Natural Language Interfaces
Autor: G L Alan Aguirre, A F José Martínez, A R Rodolfo Pazos, A L Marco Aguirre
Publikováno v: Fuzzy Logic Augmentation of Neural and Optimization Algorithms: Theoretical Aspects and Real Applications ISBN: 9783319710075
Fuzzy Logic Augmentation of Neural and Optimization Algorithms
Accessing information is a vital activity in businesses; therefore, databases (DBs) have become necessary tools for storing their information. However, for accessing the information stored in a database, it is necessary to use a DB query language, su
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::806c81bff573650c72f04c06ebfaccef
https://doi.org/10.1007/978-3-319-71008-2_33
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10
Translation of Natural Language Queries to SQL that Involve Aggregate Functions, Grouping and Subqueries for a Natural Language Interface to Databases
Autor: H Juana Gaspar, A F José Martínez, A O Andrés Verástegui, A R Rodolfo Pazos, Martin Carpio
Publikováno v: Fuzzy Logic Augmentation of Neural and Optimization Algorithms: Theoretical Aspects and Real Applications ISBN: 9783319710075
Fuzzy Logic Augmentation of Neural and Optimization Algorithms
Currently, huge amounts of information are stored in databases (DBs). In order to facilitate access to information to all users, natural language interfaces to databases (NLIDBs) have been developed. To this end, these interfaces translate natural la
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a0afd8e87461f8fe3062ea5a889e26b0
https://doi.org/10.1007/978-3-319-71008-2_31
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