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Application of artificial neural network for analysis of self-excited induction generator.
From:
Journal of Computer Science & Technology
| Date:
October 1, 2006| Author:
Bansal, Raj Kumar; Goel, Ashok Kumar; Khela, Raja Singh; Sandhu, K.S.
| COPYRIGHT 2006 Graduate Network of Argentine Universities with Computer Science Schools (RedUNCI). This material is published under license from the publisher through the Gale Group, Farmington Hills, Michigan. All inquiries regarding rights should be directed to the Gale Group.Copyright information
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ABSTRACT
It is observed that conventional techniques to analyse the steady state analysis of Self-Excited Induction Generator (SEIG) involve cumbersome mathematical procedures. In this paper an Artificial Intelligence (AI) technique has been used to analyse the behaviour of Self-Excited Induction Generator, which does not require rigorous modelling as required in conventional techniques. Proposed Artificial Neural Network (ANN) model has been implemented to predict the e...
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