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Image Search Results


The fundamental configuration of ANFIS.

Journal: Scientific Reports

Article Title: Artificial intelligence prediction of the mechanical properties of banana peel-ash and bagasse blended geopolymer concrete

doi: 10.1038/s41598-024-77144-9

Figure Lengend Snippet: The fundamental configuration of ANFIS.

Article Snippet: The Adaptive Neuro-Fuzzy Inference System (ANFIS) is a hybrid intelligent system that blends neural network and fuzzy logic functionalities to perform adaptive and accurate inference, especially in modeling complex and nonlinear systems .

Techniques:

ANFIS model variables interactions.

Journal: Scientific Reports

Article Title: Artificial intelligence prediction of the mechanical properties of banana peel-ash and bagasse blended geopolymer concrete

doi: 10.1038/s41598-024-77144-9

Figure Lengend Snippet: ANFIS model variables interactions.

Article Snippet: The Adaptive Neuro-Fuzzy Inference System (ANFIS) is a hybrid intelligent system that blends neural network and fuzzy logic functionalities to perform adaptive and accurate inference, especially in modeling complex and nonlinear systems .

Techniques:

 ANFIS  processing settings.

Journal: Scientific Reports

Article Title: Artificial intelligence prediction of the mechanical properties of banana peel-ash and bagasse blended geopolymer concrete

doi: 10.1038/s41598-024-77144-9

Figure Lengend Snippet: ANFIS processing settings.

Article Snippet: The Adaptive Neuro-Fuzzy Inference System (ANFIS) is a hybrid intelligent system that blends neural network and fuzzy logic functionalities to perform adaptive and accurate inference, especially in modeling complex and nonlinear systems .

Techniques: Generated

Graphical plot of ANFIS model training sets.

Journal: Scientific Reports

Article Title: Artificial intelligence prediction of the mechanical properties of banana peel-ash and bagasse blended geopolymer concrete

doi: 10.1038/s41598-024-77144-9

Figure Lengend Snippet: Graphical plot of ANFIS model training sets.

Article Snippet: The Adaptive Neuro-Fuzzy Inference System (ANFIS) is a hybrid intelligent system that blends neural network and fuzzy logic functionalities to perform adaptive and accurate inference, especially in modeling complex and nonlinear systems .

Techniques:

Graphical plot of ANFIS model testing sets.

Journal: Scientific Reports

Article Title: Artificial intelligence prediction of the mechanical properties of banana peel-ash and bagasse blended geopolymer concrete

doi: 10.1038/s41598-024-77144-9

Figure Lengend Snippet: Graphical plot of ANFIS model testing sets.

Article Snippet: The Adaptive Neuro-Fuzzy Inference System (ANFIS) is a hybrid intelligent system that blends neural network and fuzzy logic functionalities to perform adaptive and accurate inference, especially in modeling complex and nonlinear systems .

Techniques:

ANFIS Membership function plots.

Journal: Scientific Reports

Article Title: Artificial intelligence prediction of the mechanical properties of banana peel-ash and bagasse blended geopolymer concrete

doi: 10.1038/s41598-024-77144-9

Figure Lengend Snippet: ANFIS Membership function plots.

Article Snippet: The Adaptive Neuro-Fuzzy Inference System (ANFIS) is a hybrid intelligent system that blends neural network and fuzzy logic functionalities to perform adaptive and accurate inference, especially in modeling complex and nonlinear systems .

Techniques:

Statisical computations to evaluate the performance of the developed model.

Journal: Scientific Reports

Article Title: Artificial intelligence prediction of the mechanical properties of banana peel-ash and bagasse blended geopolymer concrete

doi: 10.1038/s41598-024-77144-9

Figure Lengend Snippet: Statisical computations to evaluate the performance of the developed model.

Article Snippet: The Adaptive Neuro-Fuzzy Inference System (ANFIS) is a hybrid intelligent system that blends neural network and fuzzy logic functionalities to perform adaptive and accurate inference, especially in modeling complex and nonlinear systems .

Techniques: