Revistas
Artículos
Publicaciones
Documentos
REVISTA
Information
TODAS
Redirigiendo al acceso original de articulo en
24
segundos...
Inicio
/
Information
/
Vol: 9 Núm: 11 Par: Novembe (2018)
/
Artículo
ARTÍCULO
TITULO
A Hybrid Swarm Intelligent Neural Network Model for Customer Churn Prediction and Identifying the Influencing Factors
Hossam Faris
Resumen
-
Acceso
PÁGINAS
NÚMERO
Volumen: 9 Número: 11 Parte: Novembe (2018)
MATERIAS
INGENIERÍA Y CONSTRUCCIÓN CIVIL
TECNOLOGÍA
REVISTAS SIMILARES
Algorithms
Applied Sciences
Coatings
DOI
https://doi.org/10.3390/info9110288
Artículos similares
An Effective Local Particle Swarm Optimization-Based Algorithm for Solving the School Timetabling Problem
Acceso
Ioannis X. Tassopoulos, Christina A. Iliopoulou, Iosif V. Katsaragakis and Grigorios N. Beligiannis
This paper deals with the school timetabling problem. The problem was formulated as encountered in a typical Greek high school. A local version of the particle swarm optimization algorithm was developed and applied to the problem at hand. Results on well...
ver más
Revista:
Algorithms
Prediction of Deposition Layer Morphology Dimensions Based on PSO-SVR for Laser?arc Hybrid Additive Manufacturing
Acceso
Junhua Wang, Junfei Xu, Yan Lu, Tancheng Xie, Jianjun Peng, Junliang Chen and Yanwei Xu
Laser?arc composite additive manufacturing holds significant potential for a wide range of industrial applications, and the control of morphological dimensions in the deposited layer is a critical aspect of this technology. The width and height dimension...
ver más
Revista:
Coatings
Identification of Mechanical Parameters in Flexible Drive Systems Using Hybrid Particle Swarm Optimization Based on the Quasi-Newton Method
Acceso
Ishaq Hafez and Rached Dhaouadi
This study presents hybrid particle swarm optimization with quasi-Newton (HPSO-QN), a hybrid optimization method for accurately identifying mechanical parameters in two-mass model (2MM) systems. These systems are commonly used to model and control high-p...
ver más
Revista:
Algorithms
Locating the Parameters of RBF Networks Using a Hybrid Particle Swarm Optimization Method
Acceso
Ioannis G. Tsoulos and Vasileios Charilogis
In the present work, an innovative two-phase method is presented for parameter tuning in radial basis function artificial neural networks. These kinds of machine learning models find application in many scientific fields in classification problems or in ...
ver más
Revista:
Algorithms
A Brain Storm and Chaotic Accelerated Particle Swarm Optimization Hybridization
Acceso
Alkmini Michaloglou and Nikolaos L. Tsitsas
Brain storm optimization (BSO) and particle swarm optimization (PSO) are two popular nature-inspired optimization algorithms, with BSO being the more recently developed one. It has been observed that BSO has an advantage over PSO regarding exploration wi...
ver más
Revista:
Algorithms
Revistas destacadas
Infrastructures
Informed Infraestructure
BiT
Revista de la Construcción
Ver todas las revistas