Particle swarm optimization of ensemble neural networks with fuzzy aggregation for time series prediction of the Mexican Stock Exchange
This paper describes a hybrid method based on particle swarm optimization for designing
ensemble neural networks with fuzzy aggregation of responses to forecast complex time …
ensemble neural networks with fuzzy aggregation of responses to forecast complex time …
A hybrid artificial intelligence model for river flow forecasting
A hybrid hydrologic estimation model is presented with the aim of performing accurate river
flow forecasts without the need of using prior knowledge from the experts in the field. The …
flow forecasts without the need of using prior knowledge from the experts in the field. The …
Particle swarm optimization of the fuzzy integrators for time series prediction using ensemble of IT2FNN architectures
This paper describes the construction of intelligent hybrid architectures and the optimization
of the fuzzy integrators for time series prediction; interval type-2 fuzzy neural networks …
of the fuzzy integrators for time series prediction; interval type-2 fuzzy neural networks …
Designing type-2 fuzzy systems using the interval type-2 fuzzy c-means algorithm
E Rubio, O Castillo - Recent Advances on Hybrid approaches for …, 2014 - Springer
In this work, the Interval Type-2 Fuzzy C-Mean (IT2FCM) algorithm was used for the design
of Type-2 Fuzzy Inference Systems using centroids and fuzzy membership matrices for the …
of Type-2 Fuzzy Inference Systems using centroids and fuzzy membership matrices for the …
Ensemble recurrent neural networks for complex time series prediction with integration methods
In this paper the development of the general architecture of a method to design recurrent
ensemble neural networks for time series prediction is presented. Therefore, experiments …
ensemble neural networks for time series prediction is presented. Therefore, experiments …
Ensemble Recurrent Neural Network Design Using a Genetic Algorithm Applied in Times Series Prediction
This paper shows a new method based on ensemble recurrent neural networks for time
series prediction. The proposed method seeks to find the structure of ensemble recurrent …
series prediction. The proposed method seeks to find the structure of ensemble recurrent …
Interval type-2 fuzzy system design based on the interval type-2 fuzzy c-means algorithm
E Rubio, O Castillo, P Melin - Fuzzy Technology: Present Applications and …, 2016 - Springer
In this work, the Interval Type-2 Fuzzy C-Means (IT2FCM) algorithm is used for the design of
Interval Type-2 Fuzzy Inference Systems using the centroids and fuzzy membership matrices …
Interval Type-2 Fuzzy Inference Systems using the centroids and fuzzy membership matrices …
[PDF][PDF] Genetic optimization of ensemble neural networks for complex time series prediction of the Mexican exchange
This paper describes an optimization method based on genetic algorithms for ensemble
neural networks with fuzzy aggregation to forecast complex time series. The time series that …
neural networks with fuzzy aggregation to forecast complex time series. The time series that …
A new method for type-2 fuzzy integration in ensemble neural networks based on genetic algorithms
This paper describes a proposed method for type-2 fuzzy integration that can be used in the
fusion of responses for an ensemble neural network. We consider the case of the design of a …
fusion of responses for an ensemble neural network. We consider the case of the design of a …
Ensemble neural network optimization using the particle swarm algorithm with type-1 and type-2 fuzzy integration for time series prediction
This chapter describes the design of ensemble neural networks using Particle Swarm
Optimization for time series prediction with Type-1 and Type-2 Fuzzy Integration. The time …
Optimization for time series prediction with Type-1 and Type-2 Fuzzy Integration. The time …