Swing Phase Control of Semi-Active Prosthetic Knee Using Neural Network Predictive Control _newline With Particle Swarm Optimization

2016 ◽  
Vol 24 (11) ◽  
pp. 1169-1178 ◽  
Author(s):  
Kittipong Ekkachai ◽  
Itthisek Nilkhamhang
Keyword(s):  
Neural Network ◽  
Particle Swarm Optimization ◽  
Predictive Control ◽  
Particle Swarm ◽  
Phase Control ◽  
Swing Phase ◽  
Swarm Optimization ◽  
Prosthetic Knee ◽  
Neural Network Predictive Control

The Research of Quantum-Behaved Particle Swarm Optimization in Gear Steel Hardenability Prediction

2014 ◽  
Vol 912-914 ◽  
pp. 479-482
Author(s):  
Yu Ping Chen
Keyword(s):  
Neural Network ◽  
Particle Swarm Optimization ◽  
Predictive Control ◽  
Optimization Algorithm ◽  
Model Simulation ◽  
Particle Swarm ◽  
Rolling Process ◽  
Swarm Optimization ◽  
The Neural Network ◽  
Gear Steel

Problems of uncertainty for gear steel hardenability control in rolling process, this article will applied improved Quantum-behaved Particle Swarm Optimization algorithm to the uncertainty, using the optimization algorithm to train the neural network by improving quantum groups, build optimized gear steel quenching permeability control neural network model. Simulation results show that this algorithm is an effective solution to the problem of gear steel hardenability predictive control. Keywords: Quantum-behaved Particle Swarm Optimization, gear steel, Hardenability

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