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Bio-inspired techniques for pattern recognition

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thesis
posted on 14.10.2019, 23:24 authored by YATHINDU RANGANA HETTIARACHCHIGE
Intelligence as it occurs in nature demands a level of energy efficiency, speed, accuracy, and generalisability that current algorithms are not readily capable of emulating independently. There are also application areas such as swarm robotics or wireless sensor networks that rely upon relatively simple computational units to carry out complex tasks. Such applications operate under similar constraints (energy efficiency, speed, accuracy and generalisability) to biological organisms and can thus benefit from the computational strategies employed by nature. This thesis addresses the problems outlined above by focusing on information from neuroscience and existing bio-inspired approaches.

History

Campus location

Australia

Principal supervisor

Aamir Cheema

Year of Award

2019

Department, School or Centre

Clayton School of Information Technology

Course

Doctor of Philosophy

Degree Type

DOCTORATE

Faculty

Faculty of Information Technology