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Online Sliding Window Based Self-Organising Fuzzy Neural Network for Cognitive Reasoning

Leng, G, Ray, Anjan, McGinnity, TM, Coleman, SA and Maguire, LP (2013) Online Sliding Window Based Self-Organising Fuzzy Neural Network for Cognitive Reasoning. In: COGNITIVE 2013 : The Fifth International Conference on Advanced Cognitive Technologies and Applications, Valencia, Spain. IARIA XPS Press. 6 pp. [Conference contribution]

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We propose an online sliding window based selforganisingfuzzy neural network (SOFNN) as the corecomponent of a cognitive reasoning system for a smart homeenvironment. The network has the ability to configure itsneuronal structure through adding and pruning of neuronswhile exploring the relationships between the inputs and thedesired reasoning outputs, thus enabling continuous learningand reasoning to provide meaningful cognitive understandingof the environment. Initially, the network is trained withenvironmentally realistic synthesised data thus demonstratingits adaptation capabilities. The network is then validated usingunseen data. In the simulation, we have studied the networkstructures and responses for three different scenarios with andwithout online sliding window based approaches and theresults obtained show the effectiveness of the proposed method.

Item Type:Conference contribution (Lecture)
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Intelligent Systems
Research Institutes and Groups:Computer Science Research Institute > Intelligent Systems Research Centre
Computer Science Research Institute
ID Code:26358
Deposited By: Dr Sonya Coleman
Deposited On:27 Jun 2013 15:09
Last Modified:27 Jun 2013 15:09

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