An improved adaptive neuro-fuzzy inference system using probability trajectory-based clustering ensemble

An improved adaptive neuro-fuzzy inference system using probability trajectory-based clustering ensemble

Research findings established the usefulness of Adaptive neuro-fuzzy inference system (ANFIS) in predicting outcomes of events, processes or systems from their numerical representations (datasets). However, its effectiveness in terms of prediction accuracy and complexity depends on some factors spec...

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Bibliographic Details
Main Authors: Alaba Timothy Owoseni, Olatubosun Olabode, Kolawole G. Akintola, Pius Adekunle Enikanselu
Format: Article
Language:English
Published: Elsevier 2020-09-01
Series:Scientific African
Subjects:
Probability trajectory
ANFIS
Improved ANFIS
Optimized adaptive neuro-fuzzy inference system
Clustering ensemble
Agglomerative-based clustering ensemble
Online Access:http://www.sciencedirect.com/science/article/pii/S2468227620302581

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http://www.sciencedirect.com/science/article/pii/S2468227620302581

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