PRESENTED BY:
SIDDHARTH JAIN


PATTERN RECOGNITION
It can be described as a process of identifying structure in data by comparisons to known structure
Purpose is to assign each input to one of c possible pattern classes
Statistical pattern recognition systems rest on mathematical models
FEATURE ANALYSIS
It refers to methods for conditioning the raw data so that the information most relevant for recognition is enhanced
It consists of three components
Feature nomination(FN): proposing the origina ....etc

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ABSTRACT
Fuzzy set theory and fuzzy logic are a highly suitable and applicable basis for developing knowledge-based systems in medicine for tasks such as the interpretation of sets of medical findings, syndrome differentiation in Eastern medicine, diagnosis of diseases in Western medicine, mixed diagnosis of integrated Western and Eastern medicine, the optimal selection of medical treatments integrating Western and Eastern medicine, and for real-time monitoring of patient data. This was verified by trials with the following systems t ....etc

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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

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Please send me any pdf files regarding fuzzy logic technical application in coal power plant ....etc

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Introduction

In this context, FL is a problem-solving control system methodology that lends itself to implementation in systems ranging from simple, small, embedded micro-controllers to large, networked, multi-channel PC or workstation-based data acquisition and control systems. It can be implemented in hardware, software, or a combination of both. FL provides a simple way to arrive at a definite conclusion based upon vague, ambiguous, imprecise, noisy, or missing input information.

FL's approach to control problems mimics how a person ....etc

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hai i am ganesh kumar,studying B.E(instrumentation).
i like to do the INTELLIGENT APPLICATION OF FUZZY LOGIC IN AUTOMATED TRAIN SPEED CONTROL SYSTEM project, so please send the information(abstract,project details)... ....etc

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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

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sir/madam
I need more information on this topic ....etc

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hi am alex pls send me d abstract fa tis project ....etc

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