Bio-inspired computing tools and applications: position paper

Tom Gedeon

doi:10.1007/s41870-017-0006-y

Bio-inspired computing tools and applications: position paper

Tom Gedeon^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

8 Citations (Scopus)

Abstract

The confluence of significant computational power and inexpensive sensors provides the opportunity to reliably collect large volumes of information from the world and extract humanly useful information resources. This paper reviews a coherent body of work over the last 20+ years focused on development of advanced bio-inspired computing techniques, and their applications primarily for human related data in behaviour and human centered computing. We close with a synthesis proposing an experiment analysis methodology combining these tools.

Original language	English
Pages (from-to)	7-17
Number of pages	11
Journal	International Journal of Information Technology (Singapore)
Volume	9
Issue number	1
DOIs	https://doi.org/10.1007/s41870-017-0006-y
Publication status	Published - 1 Mar 2017

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keywords = "Bio-inspired computing, Computational intelligence, Deep learning, Extreme learning machines, Fuzzy interpolation, Fuzzy logic, Genetic algorithms, Human centered computing, Interactive evolutionary computing, Neural networks, Soft computing",

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KW - Neural networks

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Bio-inspired computing tools and applications: position paper

Abstract

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