Introduction

Fuzzy control is a practical alternative for a variety of challenging control applications since it provides a convenient method for constructing non-linear controllers via the use of heuristic information. Since heuristic information may come from an operator who has acted as a human in the loop controller for a process. In the fuzzy control design methodology, a set of rules on how to control the process is written down and then it is incorporated into a fuzzy controller that emulates the decision making process of the huma ....etc

[:=Read Full Message Here=:]

matlab code for image noise reduction using fuzzy technique ....etc

[:=Read Full Message Here=:]

ABSTRACT
Fuzzy logic, a relatively new cutting edge technology, is nowadays gaining popularity. Fuzzy control is a practical alternative for a variety of challenging control applications since it provides a convenient method for constructing no-linear controllers via the use of heuristic information. Such heuristic information may come from an operator who has acted as a human in the loop controller for a process. A fuzzy controller emulates human decision-making process. Fuzzy control provides a user-friendly formalism for ....etc

[:=Read Full Message Here=:]

PH Control Technique using Fuzzy Logic

Fuzzy control is a practical alternative for a variety of challenging control applications since it provides a convenient method for constructing non-linear controllers via the use of heuristic information. Since heuristic information may come from an operator who has acted as a human in the loop controller for a process. In the fuzzy control design methodology, a set of rules on how to control the process is written down and then it is incorporated into a f ....etc

[:=Read Full Message Here=:]

A Novel Two-Stage Impulse Noise Removal Technique Based on Neural Networks and Fuzzy Decision
Introduction
Images corrupted by impulse noise.
Objectives of noise removal:-
- Suppress the noise.
- To preserve the sharpness of edge.
Two-Stage impulse noise removal techniques used:-
- Neural Networks
- Fuzzy Decision
Neural Network
Neural network: information processing paradigm inspired by biological nervous systems, such as our brain
Structure: large number of h ....etc

[:=Read Full Message Here=:]

I want plam vein technology sides for presenting ppt ....etc

[:=Read Full Message Here=:]

Introduction
Fuzzy control is a practical alternative for a variety of challenging control applications since it provides a convenient method for constructing non-linear controllers via the use of heuristic information. Since heuristic information may come from an operator who has acted as a human in the loop controller for a process. In the fuzzy control design methodology, a set of rules on how to control the process is written down and then it is incorporated into a fuzzy controller that emulates the decision making process of the human. ....etc

[:=Read Full Message Here=:]

Six Sigma is a methodology

Six Sigma is a methodology to manage process variations that cause defects, defined as unacceptable deviation from the mean or target; and to systematically work towards managing variation to eliminate those defects.

The objective of Six Sigma is to deliver high performance, reliability, and value to the end customer. It was pioneered by Bill Smith at Motorola in 1986 and was originally defined as a metric for measuring defects and improving quality; and a methodology ....etc

[:=Read Full Message Here=:]

Fuzzy Logic and Fuzzy Sets 


History


Lotfi Zadeh, at the University of California at Berkeley, first presented fuzzy logic in the mid-1960's.

Zadeh developed fuzzy logic as a way of processing data. Instead of requiring a data element to be either a member or non-member of a set, he introduced the idea of partial set membership.

In 1974 Mamdani and Assilian used fuzzy logic to regulate a steam engine.

In 1985 researchers at Bell laboratories ....etc

[:=Read Full Message Here=:]

Genetic programming (GP) is an Automated Methodology

Genetic programming (GP) is an automated methodology inspired by biological evolution to find computer programs that best perform a user-defined task. It is therefore a particular machine learning technique that uses an evolutionary algorithm to optimize a population of computer programs according to a fitness landscape determined by a program's ability to perform a given computational task.

The first experiments with GP were reported by Steph ....etc

[:=Read Full Message Here=:]