QoS-driven metaheuristic service composition schemes: a comprehensive overview

M Masdari, M Nozad Bonab, S Ozdemir - Artificial Intelligence Review, 2021 - Springer
Abstract Services Oriented Architecture provides Web Services (WSs) as reusable software
components that can be applied to create more complicate composite services for users …

A fuzzy logic model for forecasting exchange rates

T Korol - Knowledge-Based Systems, 2014 - Elsevier
This article is devoted to the issue of forecasting exchange rates. The objective of the
conducted research is to develop a predictive model with the use of an innovative …

Ensemble artificial neural networks applied to predict the key risk factors of hip bone fracture for elders

Q Liu, X Cui, YC Chou, MF Abbod, J Lin… - … Signal Processing and …, 2015 - Elsevier
Hip bone fracture is one of the most important causes of morbidity and mortality in the elder
adults. It is necessary to establish a prediction model to provide suggestions for elders. A …

A distributed PSO-ARIMA-SVR hybrid system for time series forecasting

JFL de Oliveira, TB Ludermir - 2014 IEEE international …, 2014 - ieeexplore.ieee.org
The combination of techniques in order to achieve more accurate predictions in time series
forecasting has been widely applied. Statistical linar models such as the autoregressive …

Modular neural networks for time series prediction using type-1 fuzzy logic integration

D Sánchez, P Melin - Design of intelligent systems based on fuzzy logic …, 2015 - Springer
In this paper, a new method to perform the times series prediction using modular neural
networks with type-1 fuzzy logic integration is proposed. The proposed method consists in …

Multi-level classification technique for diagnosing osteoporosis and osteopenia using sequential deep learning algorithm

T Ramesh, V Santhi - … Journal of System Assurance Engineering and …, 2024 - Springer
Sequential analysis techniques have brought new insights into a primary analysis of medical
data for early detection of diseases. The presence of Sequential patterns in the datasets …

Optimization of ensemble neural networks with fuzzy integration using the particle swarm algorithm for the US dollar/MX time series prediction

M Pulido, P Melin, O Castillo - … on Norbert Wiener in the 21st …, 2014 - ieeexplore.ieee.org
This paper describes the design with Particle Swarm Optimization of a neural network
ensemble with type-1 and type-2 fuzzy integration of responses. The proposed ensemble …

Design of Ensemble Neural Networks for Predicting the US Dollar/MX Time Series with Particle Swarm Optimization

M Pulido, P Melin, O Castillo - Recent Developments and New Direction in …, 2016 - Springer
This paper shows the use of particle swarm optimization (PSO) in the design of a neural
network ensemble with type-1 and type-2 fuzzy integration of responses for time series …

Optimasi Fuzzy Time Series Dengan Algoritme Genetika Untuk Meramalkan Jumlah Pengangguran di Jawa Timur

R Radifah, BD Setiawan, RC Wihandika - … Teknologi Informasi dan …, 2018 - j-ptiik.ub.ac.id
Pengangguran menjadi salah satu masalah penting yang terjadi di Indonesia.
Pengangguran yang tinggi berdampak pada tingkat perekonomian dan kemiskinan warga …

Enhancing ANN-guided MOPSO through Active Learning

T Rawlins, A Lewis, J Hettenhausen… - … Joint Conference on …, 2015 - ieeexplore.ieee.org
Artificial Neural Networks (ANNs) have often been used to model objective functions for
Multi-Objective Particle Swarm Optimisation (MOPSO); alternatively MOPSO has been used …