The quadriceps muscle of knee joint modelling Using Hybrid Particle Swarm Optimization-Neural Network (PSO-NN)

The quadriceps muscle of knee joint modelling Using Hybrid Particle Swarm Optimization-Neural Network (PSO-NN)

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 rel...

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Bibliographic Details
Main Authors: Accardi L. (Author), Ghani, N.A.M (Author), Hee, P.C (Author), Huq, M.S (Author), Kader, B.S.B.K (Author), Kamaruddin, S.B.A (Author), Mukhamedov F. (Author), Nasir, N.B.M (Author), Pah C.H (Author), Ramli, N.M (Author), Tolos, S.M (Author)
Format: Article
Language:English
Published: Institute of Physics Publishing 2017
Subjects:
Auto-regressive
Back propagation neural networks
Backpropagation
Backpropagation algorithms
Complex nonlinear system
Hybrid Particle Swarm Optimization
Joints (anatomy)
Logical modeling
Mean square error
Muscle
Neural networks
Nonlinear auto-regressive moving averages
Non-linear modelling
Nonlinear systems
Optimization
Particle swarm optimization (PSO)
Time series models
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