Optimization of type-2 fuzzy weights in backpropagation learning for neural networks using GAs and PSO.

Applied Soft Computing(2016)

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摘要
•Optimization of type-2 fuzzy inference systems using GAs and PSO are presented.•Optimized type-2 fuzzy systems are used to estimate the type-2 fuzzy weights.•Simulation results and a comparative study are presented to illustrate the method.•Bio-inspired optimization of the type-2 fuzzy systems is viable for this problem.
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关键词
Type-2 fuzzy logic,Neural networks,Time series prediction,Genetic algorithm,Particle swarm optimization
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