Confidence interval of ANFIS prediction
1 visualización (últimos 30 días)
Mostrar comentarios más antiguos
Is there a way to find the condifence values for predictions made by Neuro-Fuzzy designer?
1 comentario
Respuestas (1)
Balavignesh
el 25 de Sept. de 2023
Hi Akriti,
I understand that you want to find the 'confidence values' for a 'Neuro-Fuzzy Designer'.
The exact process of obtaining membership values may depend on the specific software you are using for Neuro-Fuzzy modelling.
However, a general approach to find 'confidence' values is to use the membership values associated with each prediction. 'Confidence values' can be calculated by normalizing the membership values. Membership values indicate the degree of 'confidence' in each prediction.
Here is an example code showing how you can do it:
prediction = 0.6; % Value predicted by Neuro-Fuzzy Designer
membership_values = [0.4,0.1,0.2]; % Example Membership Values
% Normalize Membership Values
confidence_values = membership_values/ sum(membership_values);
Please refer to the following documentation for more info on:
'Fuzzy Logic Designer' :
0 comentarios
Ver también
Categorías
Más información sobre Fuzzy Logic Toolbox en Help Center y File Exchange.
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!