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The quadriceps muscle of knee joint modelling using neural network approach: Part 1

Artificial neural approach has been executed in various recorded, and a champion amongst the most understood widespread approximators. Neural framework has for quite a while been known for its ability to handle a complex nonlinear system without a logical model and can learn refined nonlinear a...

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Main Authors: Md Ghani, Nor Azura, Ahmad Kamaruddin, Saadi, Mohamed Ramli, Norazan, Mohamed Nasir, Noorhamizah, Ksm Kader, Babul Salam, Huq, Mohammad Saiful
Format: Conference or Workshop Item
Language:English
English
Published: IEEE 2017
Subjects:
T Technology (General)
Online Access:http://irep.iium.edu.my/62934/1/62934%20The%20Quadriceps%20Muscle%20of%20Knee%20Joint%20Modelling.pdf
http://irep.iium.edu.my/62934/2/62934%20The%20quadriceps%20muscle%20of%20knee%20joint%20modelling%20using%20neural%20SCOPUS.pdf
http://irep.iium.edu.my/62934/
http://ieeexplore.ieee.org/document/8009039/
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spelling my.iium.irep.62934 http://irep.iium.edu.my/62934/ The quadriceps muscle of knee joint modelling using neural network approach: Part 1 Md Ghani, Nor Azura Ahmad Kamaruddin, Saadi Mohamed Ramli, Norazan Mohamed Nasir, Noorhamizah Ksm Kader, Babul Salam Huq, Mohammad Saiful T Technology (General) Artificial neural approach has been executed in various recorded, and a champion amongst the most understood widespread approximators. Neural framework has for quite a while been known for its ability to handle a complex nonlinear system without a logical model and can learn refined nonlinear associations gives. Theoretically, the most surely understood computation to set up the framework is the backpropagation (BP) count which relies on upon the minimization of the mean square error (MSE). This paper exhibits the improvement of quadriceps muscle model by utilizing counterfeit smart procedure named backpropagation neural network nonlinear autoregressive (BPNN-NAR) model in view of utilitarian electrical incitement (FES). A progression of tests utilizing FES was led. The information that is gotten is utilized to build up the quadriceps muscle model. 934 preparing information, 200 testing and 200 approval information set are utilized as a part of the improvement of muscle model. It was found that BPNNNAR is suitable and efficient to model this type of data. A neural network model is the best approach for modelling non-linear models such as active properties of the quadriceps muscle with one input, namely output namely muscle force. IEEE 2017-08-15 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/62934/1/62934%20The%20Quadriceps%20Muscle%20of%20Knee%20Joint%20Modelling.pdf application/pdf en http://irep.iium.edu.my/62934/2/62934%20The%20quadriceps%20muscle%20of%20knee%20joint%20modelling%20using%20neural%20SCOPUS.pdf Md Ghani, Nor Azura and Ahmad Kamaruddin, Saadi and Mohamed Ramli, Norazan and Mohamed Nasir, Noorhamizah and Ksm Kader, Babul Salam and Huq, Mohammad Saiful (2017) The quadriceps muscle of knee joint modelling using neural network approach: Part 1. In: 2016 IEEE Conference on e-Learning, e-Management and e-Services (IC3e), 10th-12th October 2016, Langkawi, Malaysia. http://ieeexplore.ieee.org/document/8009039/ 10.1109/IC3e.2016.8009039
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
English
topic T Technology (General)
spellingShingle T Technology (General)
Md Ghani, Nor Azura
Ahmad Kamaruddin, Saadi
Mohamed Ramli, Norazan
Mohamed Nasir, Noorhamizah
Ksm Kader, Babul Salam
Huq, Mohammad Saiful
The quadriceps muscle of knee joint modelling using neural network approach: Part 1
description Artificial neural approach has been executed in various recorded, and a champion amongst the most understood widespread approximators. Neural framework has for quite a while been known for its ability to handle a complex nonlinear system without a logical model and can learn refined nonlinear associations gives. Theoretically, the most surely understood computation to set up the framework is the backpropagation (BP) count which relies on upon the minimization of the mean square error (MSE). This paper exhibits the improvement of quadriceps muscle model by utilizing counterfeit smart procedure named backpropagation neural network nonlinear autoregressive (BPNN-NAR) model in view of utilitarian electrical incitement (FES). A progression of tests utilizing FES was led. The information that is gotten is utilized to build up the quadriceps muscle model. 934 preparing information, 200 testing and 200 approval information set are utilized as a part of the improvement of muscle model. It was found that BPNNNAR is suitable and efficient to model this type of data. A neural network model is the best approach for modelling non-linear models such as active properties of the quadriceps muscle with one input, namely output namely muscle force.
format Conference or Workshop Item
author Md Ghani, Nor Azura
Ahmad Kamaruddin, Saadi
Mohamed Ramli, Norazan
Mohamed Nasir, Noorhamizah
Ksm Kader, Babul Salam
Huq, Mohammad Saiful
author_facet Md Ghani, Nor Azura
Ahmad Kamaruddin, Saadi
Mohamed Ramli, Norazan
Mohamed Nasir, Noorhamizah
Ksm Kader, Babul Salam
Huq, Mohammad Saiful
author_sort Md Ghani, Nor Azura
title The quadriceps muscle of knee joint modelling using neural network approach: Part 1
title_short The quadriceps muscle of knee joint modelling using neural network approach: Part 1
title_full The quadriceps muscle of knee joint modelling using neural network approach: Part 1
title_fullStr The quadriceps muscle of knee joint modelling using neural network approach: Part 1
title_full_unstemmed The quadriceps muscle of knee joint modelling using neural network approach: Part 1
title_sort quadriceps muscle of knee joint modelling using neural network approach: part 1
publisher IEEE
publishDate 2017
url http://irep.iium.edu.my/62934/1/62934%20The%20Quadriceps%20Muscle%20of%20Knee%20Joint%20Modelling.pdf
http://irep.iium.edu.my/62934/2/62934%20The%20quadriceps%20muscle%20of%20knee%20joint%20modelling%20using%20neural%20SCOPUS.pdf
http://irep.iium.edu.my/62934/
http://ieeexplore.ieee.org/document/8009039/
_version_ 1643617103600680960
score 13.211869

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