S. Ramadevi. International Journal of Trend in Scientific Research and Development, 2 (5):
1991-1994(августа 2018)
Аннотация
The snag of common linear filtered Adaptive Inverse Control (AIC) method is modify to hold with the characteristic of non-linear object with time delay and corresponding filtered ?-adaptive Algorithm based on Real-Time Recurrent Learning (RTRL) is presented to identify the parameters and design the controller. The simulation result on a non-linear ship model of "The R.O.V. Zeefakkel" and Adaptive PID control keeps the same dynamic response performance, and also mathematical model for ship Course keeping be discussed. A neural network adaptive filter is introduced for the removal of impulse noise in digital images. S. Sree Ragavi | S. RamadeviÄpplication of Adaptive Filter in Neural Network" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-5 , August 2018, URL: http://www.ijtsrd.com/papers/ijtsrd18176.pdf http://www.ijtsrd.com/mathemetics/other/18176/application-of-adaptive-filter-in-neural-network/s-sree-ragavi
%0 Journal Article
%1 noauthororeditor
%A Ramadevi, S. Sree Ragavi | S.
%D 2018
%J International Journal of Trend in Scientific Research and Development
%K Adaptive Control Filtered Inverse Ship and course detection impulse keeping noise removal
%N 5
%P 1991-1994
%T Application of Adaptive Filter in Neural Network
%U http://www.ijtsrd.com/mathemetics/other/18176/application-of-adaptive-filter-in-neural-network/s-sree-ragavi
%V 2
%X The snag of common linear filtered Adaptive Inverse Control (AIC) method is modify to hold with the characteristic of non-linear object with time delay and corresponding filtered ?-adaptive Algorithm based on Real-Time Recurrent Learning (RTRL) is presented to identify the parameters and design the controller. The simulation result on a non-linear ship model of "The R.O.V. Zeefakkel" and Adaptive PID control keeps the same dynamic response performance, and also mathematical model for ship Course keeping be discussed. A neural network adaptive filter is introduced for the removal of impulse noise in digital images. S. Sree Ragavi | S. RamadeviÄpplication of Adaptive Filter in Neural Network" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-5 , August 2018, URL: http://www.ijtsrd.com/papers/ijtsrd18176.pdf http://www.ijtsrd.com/mathemetics/other/18176/application-of-adaptive-filter-in-neural-network/s-sree-ragavi
@article{noauthororeditor,
abstract = {The snag of common linear filtered Adaptive Inverse Control (AIC) method is modify to hold with the characteristic of non-linear object with time delay and corresponding filtered ?-adaptive Algorithm based on Real-Time Recurrent Learning (RTRL) is presented to identify the parameters and design the controller. The simulation result on a non-linear ship model of "The R.O.V. Zeefakkel" and Adaptive PID control keeps the same dynamic response performance, and also mathematical model for ship Course keeping be discussed. A neural network adaptive filter is introduced for the removal of impulse noise in digital images. S. Sree Ragavi | S. Ramadevi"Application of Adaptive Filter in Neural Network" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-5 , August 2018, URL: http://www.ijtsrd.com/papers/ijtsrd18176.pdf http://www.ijtsrd.com/mathemetics/other/18176/application-of-adaptive-filter-in-neural-network/s-sree-ragavi
},
added-at = {2018-10-03T08:42:37.000+0200},
author = {Ramadevi, S. Sree Ragavi | S.},
biburl = {https://www.bibsonomy.org/bibtex/29ded3c6597b4554ae838db6f04bd0a11/ijtsrd},
interhash = {5ac7223663783bc902b14ea6f3beca83},
intrahash = {9ded3c6597b4554ae838db6f04bd0a11},
issn = {2456-6470},
journal = {International Journal of Trend in Scientific Research and Development},
keywords = {Adaptive Control Filtered Inverse Ship and course detection impulse keeping noise removal},
language = {English},
month = aug,
number = 5,
pages = {1991-1994},
timestamp = {2018-10-03T08:42:37.000+0200},
title = {Application of Adaptive Filter in Neural Network
},
url = {http://www.ijtsrd.com/mathemetics/other/18176/application-of-adaptive-filter-in-neural-network/s-sree-ragavi},
volume = 2,
year = 2018
}