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11 - Computer Science and Informatics

Brunel University London

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Output 25 of 117 in the submission

Article title

Bidirectional Optimization of the Melting Spinning Process

Type

D - Journal article

DOI

10.1109/TSMCC.2013.2252896

Title of journal

IEEE Transactions on Cybernetics

Article number

Volume number

n/a

Issue number

First page of article

n/a

ISSN of journal

2168-2267

Year of publication

2013

URL

http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6615923

Number of additional authors

Additional information

<24> Published in one of the top journals on computer science (cybernetics), this paper has several distinguishing features. 1) The optimization of the melting spinning process has been, for the first time, formulated as a parameter-based bidirectional problem. 2) A novel immune-enhanced neural network algorithm has been proposed to solve the formulated problem. 3) Most importantly, a software platform has been developed on which typical manufacturing processes can be tested. It is expected that such a platform would have important impact in industry as it can ultimately provide guidance for product improvement.

Interdisciplinary

Cross-referral requested

Research group

None

Citation count

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract