SSA-Deep Learning Forecasting Methodology with SMA and KF Filters and Residual Analysis

Autor: Juan Frausto-Solís, José Christian de Jesús Galicia-González, Juan Javier González-Barbosa, Guadalupe Castilla-Valdez, Juan Paulo Sánchez-Hernández

Publikováno v: Mathematical and Computational Applications, Vol 29, Iss 2, p 19 (2024)

Accurate forecasting remains a challenge, even with advanced techniques like deep learning (DL), ARIMA, and Holt–Winters (H&W), particularly for chaotic phenomena such as those observed in several areas, such as COVID-19, energy, and financial time

Externí odkaz: https://doaj.org/article/18b2832467bf42d8bfa6a0e54a9cd65c

Hurst Exponent with ARIMA and Simple Exponential Smoothing for Measuring Persistency of M3- Competition Series

Autor: Juan Frausto Solís, Juan Javier González Barbosa, Jesus David Teran Villanueva, Mirna Patricia Ponce Flores, Joaquín Pérez Ortega, Guadalupe Castilla Valdez

Publikováno v: IEEE Latin America Transactions. 17:815-822

The Hurst exponent is a metric used to evaluate whether a time series exhibits long-term memory, and it is used to identify its complexity. Besides, forecasting methods are tested using time series from Makridakis competition. Additionally, Exponenti

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4cbc5676572ab8932cb7ae764db08d9a
https://doi.org/10.1109/tla.2019.8891950

A Peptides Prediction Methodology for Tertiary Structure Based on Simulated Annealing

Autor: Fanny G. Maldonado-Nava, Juan Frausto-Solís, Juan Paulo Sánchez-Hernández, Diego A. Soto-Monterrubio, Guadalupe Castilla-Valdez, Juan Javier González-Barbosa

Publikováno v: Mathematical and Computational Applications, Vol 26, Iss 39, p 39 (2021)
Mathematical and Computational Applications
Volume 26
Issue 2

The Protein Folding Problem (PFP) is a big challenge that has remained unsolved for more than fifty years. This problem consists of obtaining the tertiary structure or Native Structure (NS) of a protein knowing its amino acid sequence. The computatio

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::377b77cab13f88ebfc20a045850474a6
https://www.mdpi.com/2297-8747/26/2/39

Two New Challenging Resources to Evaluate Natural Language Interfaces to Databases Generated Based on Geobase and Geoquery

Autor: Juan Frausto Solís, Juan Paulo Sánchez-Hernández, Juan Javier González-Barbosa, Julia Patricia Sanchez-Solís

Publikováno v: Handbook of Research on Natural Language Processing and Smart Service Systems

Databases and corpora are essential resources to evaluate the performance of Natural Language Interfaces to Databases (NLIDB). The Geobase database and the Geoquery corpus (Geoquery250 and Geoquery880) are among the most commonly used. In this chapte

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ad282b9e47122d9a3b227edc1d180e9b
https://doi.org/10.4018/978-1-7998-4730-4.ch004

A Novel Dynamic Multi-objective Evolutionary Algorithm with an Adaptable Roulette for the Selection of Operators

Autor: Héctor Joaquín Fraire Huacuja, Lucila Morales Rodríguez, Alejandro Estrada Padilla, Juan Javier González Barbosa, Eduardo Rodríguez del Angel

Publikováno v: Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms: Theory and Applications ISBN: 9783030354442
Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms

In this chapter, the optimization of Dynamic Multi-Objective Problems (DMOP) is approached. To solve this kind of problems several evolutionary algorithms with a static selection of operators are reported in the literature. In this work, a new evolut

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::adb56d9f13f33c84860386e8097b3e89
https://doi.org/10.1007/978-3-030-35445-9_35