The Application of Mamdani Fuzzy Model for Auto Zoom Function of a Digital Camera

01/13/2010
by   I. Elamvazuthi, et al.
0

Mamdani Fuzzy Model is an important technique in Computational Intelligence (CI) study. This paper presents an implementation of a supervised learning method based on membership function training in the context of Mamdani fuzzy models. Specifically, auto zoom function of a digital camera is modelled using Mamdani technique. The performance of control method is verified through a series of simulation and numerical results are provided as illustrations.

READ FULL TEXT
research
09/07/2018

Reductive property of new fuzzy reasoning method based on distance measure

Firstly in this paper we propose a new criterion function for evaluation...
research
11/17/2022

Granular F-transform and its application

This contribution introduces the concept of granular F-transform and inv...
research
03/27/2020

A Novel Fuzzy Approximate Reasoning Method Based on Extended Distance Measure in SISO Fuzzy System

This paper presents an original method of fuzzy approximate reasoning th...
research
02/19/2014

The Application of Imperialist Competitive Algorithm for Fuzzy Random Portfolio Selection Problem

This paper presents an implementation of the Imperialist Competitive Alg...
research
09/20/2012

A Neuro-Fuzzy Technique for Implementing the Half-Adder Circuit Using the CANFIS Model

A Neural Network, in general, is not considered to be a good solver of m...
research
11/16/2020

Fuzzy C-means-based scenario bundling for stochastic service network design

Stochastic service network designs with uncertain demand represented by ...
research
03/29/2005

Obtaining Membership Functions from a Neuron Fuzzy System extended by Kohonen Network

This article presents the Neo-Fuzzy-Neuron Modified by Kohonen Network (...

Please sign up or login with your details

Forgot password? Click here to reset