EXPLORING THE USE OF LONG SHORT-TERM MEMORY (LSTM) IN FUNCTIONAL BASED BIOINSPIRED DESIGN

DS 89: Proceedings of The Fifth International Conference on Design Creativity (ICDC 2018), University of Bath, Bath, UK

Year: 2018
Editor: Elies Dekoninck, Andrew Wodehouse, Chris Snider, Georgi Georgiev, Gaetano Cascini
Author: Jin Ma, Shuo Jiang, Jie Hu, Jian Shen, Jin Qi, Pan Tian
Series: ICDC
Section: BIO-INSPIRED CREATIVITY
Page(s): 338-345
ISBN: 9781912254071

Abstract

Bioinspired design is the rising discipline where biological cases are taken to inspire the designers to solve the engineering problems or challenges. The search of functional analogies using biological repository for analogies and inspirations acquisition based on engineering-to-biology thesaurus has proven to be an effective way. Whereas bias and inconsistency exist in the manually made thesaurus seriously hinders the exploration of biological cases. This research presents an Long Short-Term Memory (LSTM) based analogical reasoning methodology for bioinspired design, which focus on the realization of inter-disciplinary knowledge reasoning through extracting thesaurus from functional models automatically. Its effectiveness has been analyzed on an engineering-to-biology depository in terms of perplexity and functional models error rate. Furthermore, comparisons between the proposed method and other methods are given, and results show that considerable improvements are gained for analogical reasoning in functional based bioinspired design.

Keywords: Bioinspired Design, Functional Model, LSTM, Concept generation

Download

Please sign in to your account

This site uses cookies and other tracking technologies to assist with navigation and your ability to provide feedback, analyse your use of our products and services, assist with our promotional and marketing efforts, and provide content from third parties. Privacy Policy.