Learn More
In this paper, we propose a new particle swarm optimization algorithm for dynamic environments. The proposed algorithm adjusts inertia weight adaptively to accelerate convergence and utilizes a local search on best swarm to refine obtained responses. To improve the search performance, when the search areas of two swarms are overlapped, the worse swarm will(More)
Many real world optimization problems are dynamic in which global optimum and local optimum change over time. Particle swarm optimization has performed well to find and track optimum in dynamic environments. In this paper , we propose a new particle swarm optimization algorithm for dynamic environments. The proposed algorithm utilizes FCM to adapt exclusion(More)
PURPOSE The aim of the present study was to evaluate the effect of applying electroencephalogram (EEG) biofeedback (neurobiofeedback) or electromyographic (EMG) biofeedback to conventional occupational therapy (OT) on improving hand function in stroke patients. METHODS This study was designed as a preliminary clinical trial. Thirty patients with stroke(More)
Many optimization problems in real world are dynamic and they are changing over time. For resolving these problems, many different algorithms have been proposed. One of these, is PSO algorithm which has well supported its ability in resolving static problems. But this algorithm has some problems in dynamic environments. In this paper, an improved PSO(More)
This paper introduces a wavelet packet algorithm based on a new wavelet like filter created by a neural mass model in place of wavelet. The hypothesis is that the performance of an ERP based BCI system can be improved by choosing an optimal wavelet derived from underlying mechanism of ERPs. The wavelet packet transform has been chosen for its generalization(More)
Pattern creating with nano-particle is one of the best application methods in nano-scale that it will be used for new pattern creating and make micro/nano-electromechanical System (MEMS/NEMS) in future. Particle swarm optimization algorithm is one of evolutionary computation techniques and the optimization method based on population and ant algorithm,(More)
The bond graph is a system for modeling in Mechatronics systems. The advantage of using bond graph for PLC programming is the use of a common language for hybrid mechanical and electrical systems. For a better understanding we use Ladder which is a circuit definition language. Ladder program has been implemented in MATLAB Simulink software as an application(More)
  • 1