A prediction method using extreme learning machine with immune optimization

Abstract

A prediction method based on Extreme Learning Machines(ELM) is proposed. The parameters of ELM are optimized by immune optimization algorithm. The proposed model is used to predict the fiber quality of the melt spinning process. According to the limited samples, the spinning speed, the spinning temperature, the blowing speed and the blowing temperature of… (More)
DOI: 10.1109/ASCC.2017.8287419

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