Ensemble neural network optimization using the particle swarm algorithm with type-1 and type-2 fuzzy integration for time series prediction

Abstract

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 series that is being considered in this work is the Mackey-Glass benchmark time series. Simulation results show that the ensemble approach produces good prediction of the Mackey-Glass time series.