A novel ANN-based harmonic extraction method tested with ESN, RNN and MLP in shunt active power filters

Xu, Jinbang; Shen, Anwen; Chen, Junfeng

doi:10.1504/ijwmc.2014.059708

Cited by 3 publications

(1 citation statement)

References 17 publications

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“…Because of difficulties in implementing a type-2 fuzzy data set associated with activity in the elderly, we implement a type-1 fuzzy data set associated with activity in the elderly to compute the fuzzy weight matrix. In this analysis, the different configurations of artificial neural networks (NN0, NN1, and NN2) are mainly designed and traced to the elderly activity supervision application to find out the relative performance through error prediction during functional training and testing of CI-device [ 40 ].…”

Section: Analysis and Discussionmentioning

confidence: 99%

Cognitive Inference Device for Activity Supervision in the Elderly

Mishra

Lin

Chang

2014

The Scientific World Journal

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Human activity, life span, and quality of life are enhanced by innovations in science and technology. Aging individual needs to take advantage of these developments to lead a self-regulated life. However, maintaining a self-regulated life at old age involves a high degree of risk, and the elderly often fail at this goal. Thus, the objective of our study is to investigate the feasibility of implementing a cognitive inference device (CI-device) for effective activity supervision in the elderly. To frame the CI-device, we propose a device design framework along with an inference algorithm and implement the designs through an artificial neural model with different configurations, mapping the CI-device's functions to minimise the device's prediction error. An analysis and discussion are then provided to validate the feasibility of CI-device implementation for activity supervision in the elderly.

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Section: Analysis and Discussionmentioning

confidence: 99%