Grey neural network prediction model based on fruit fly optimisation algorithm and its application
by Yang Jing; Zeng Hui; Huang Jiangping
International Journal of Information and Communication Technology (IJICT), Vol. 12, No. 1/2, 2018

Abstract: The vinyl acetate (VAC) polymerisation rate is considered as an important quality index in the production of polyvinyl alcohol. However, the quality of polyvinyl alcohol can not be controlled effectively because it can not be measured online. Therefore, how to design reliable estimation of VAC polymerisation rate is crucial. The fruit fly optimisation algorithm (FOA), as a novel meta-heuristic and evolutional algorithm, has several merits, such as higher prediction accuracy, having few parameters to be adjusted and able to achieve global optimum. This paper proposes a grey neural network prediction model to improve the prediction performance by taking advantage of FOA to optimise the 'whitening' parameters of this grey neural network. Based on the data from a real plant, the proposed grey neural network prediction model combined with FOA (FOA_GNN) is evaluated and proved to be valid. Its simulation experimental results also confirm the advantage of FOA_GNN algorithm to the traditional grey neural network model (GNN), the adaptive compete genetic neural network prediction model (ACGA) and radial basic function (RBF) neural network model.

Online publication date: Thu, 04-Jan-2018

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Information and Communication Technology (IJICT):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com