Feasibility of ANFIS towards multiclass event classification in PFBR considering dimensionality reduction using PCA
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文摘

A dimensionality reduction using principal component analysis (PCA) is achievable in nuclear power plant.

PCA reduces the complexity of any classifier used for event classification.

Adaptive neuro fuzzy inference system (ANFIS) works in acceptable range for such classification.

PCA along with ANFIS improves the overall performance of ANFIS for event classification.

Multiple ANFIS gives better performance over single ANFIS when the number of classes is more.

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