Affiliation:
1. Zhengzhou University of Light Industry, Zhengzhou, Henan, China
Abstract
With the continuous development of deep learning, due to the complexity of the deep neural network structure and the limitation of training time, some scholars have proposed broad learning, the Broad Learning System (BLS). However, BLS currently only verifies that it has excellent effects on some of the network training data sets, and it does not necessarily have excellent effects on some actual data sets. In response to this, this paper uses the effect of BLS in predicting the unevenness of yarn quality in the yarn data set, and proposes a BLS-based multi-layer neural network (MNN) for the problems, which is called Broad Multilayer Neural Network (BMNN).
Funder
science and technology innovation talents in universities of henan province
Subject
General Materials Science
Cited by
4 articles.
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