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A comparison of different fuzzy inference systems for prediction of catch per unit of effort (CPUE) of fish.

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Title A comparison of different fuzzy inference systems for prediction of catch per unit of effort (CPUE) of fish.
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Creator Yadav V*, Jahageerdar S, Adinarayana J.
 
Subject Artificial Neural Networks (ANNs), Fuzzy Inference System (FIS), Adaptive Neuro-Fuzzy Inference System (ANFIS), Catch per Unit Effort (CPUE)].
 
Description Not Available
Present work was aimed to design Mamdani- Fuzzy Inference System (FIS), Sugeno -FIS and Sugeno-Adaptive Neuro-Fuzzy Inference System (ANFIS) model for the prediction of CPUE of fish. The system was implemented using MATLAB fuzzy toolbox. A prediction of CPUE was made using the models trained. The accuracy of fuzzy inference system models was compared using mean square error (MSE) and average error percentage. Comparative study of all the three systems provided that the results of Sugeno-ANFIS model (MSE =0.05 & Average error percentage=11.02%) are better than the two other Fuzzy Inference Systems. This ANFIS was tested with independent 28 dataset points. The results obtained were closer to training data (MSE=0.08 and Average error percentage=13.45%).
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Date 2022-06-15T11:19:31Z
2022-06-15T11:19:31Z
2019-01-01
 
Type Research Paper
 
Identifier Not Available
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http://krishi.icar.gov.in/jspui/handle/123456789/72580
 
Language English
 
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Publisher Not Available