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What is Estimation Error

Handbook of Research on Computational Intelligence Applications in Bioinformatics
Estimation error is the difference between actual parameter and estimated parameter.
Published in Chapter:
Evolutionary Computing Approaches to System Identification
Bidyadhar Subudhi (NIT Rourkela, India) and Debashisha Jena (National Institute of Technology, India)
DOI: 10.4018/978-1-5225-0427-6.ch015
Abstract
In this chapter, we describe an important class of engineering problem called system identification which is an essential requirement for obtaining models of system of concern that would be necessary for controlling, analyzing the systems. The system identification problem is essentially to pick up the best model out of the several candidate models. Thus, the problem of system identification or modeling building turns out to be an optimization problem. The chapter explain what are different evolutionary computing techniques used in the past and the state- of the art technologies on evolutionary computation. Then, some case studies have been included how the system identification of a number of complex systems effectively achieved by employing these evolutionary computing techniques.
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