Using Fuzzy Inference Systems for the Creation of Forex Market Predictive Models

Autor: Amaury Hernandez-Aguila, Mario Garcia-Valdez, Juan-Julian Merelo-Guervos, Manuel Castanon-Puga, Oscar Castillo Lopez

Publikováno v: IEEE Access, Vol 9, Pp 69391-69404 (2021)

This paper presents a method for creating Forex market predictive models using multi-agent and fuzzy systems, which have the objective of simulating the interactions that provoke changes in the price. Agents in the system represent traders performing

Externí odkaz: https://doaj.org/article/00fc1e59b0c0475e974f16bbc84baee4

Simple Tuning Algorithm for Fuzzy Controllers: (ASSCD)

Autor: Eduardo Gomez-Ramirez, Julio César Cortés Ríos, Hector Alejandro Ortiz-De-La-Vega, Elba Patricia Melin-Olmeda, Oscar Castillo-Lopez

Publikováno v: Gomez-Ramirez, E, Cortes Rios, J C, Ortiz-De-La-Vega, H A, Melin-Olmeda, E P & Castillo-Lopez, O 2017, El algoritmo de sintonización simple de controladores difusos: (ASSCD) . De La Salle Ediciones, Mexico .
University of Manchester-PURE

This book is a guidance in fuzzy controller tuning and its objective is to improve the usability and applicability of such controllers by providing an algorithm that makes this tuning intuitive.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::9db2653c124f167881fa646a72b23df3
https://www.research.manchester.ac.uk/portal/en/publications/el-algoritmo-de-sintonizacion-simple-de-controladores-difusos-asscd(89924351-ea72-4d34-be05-012aad0dcee4).html