◇IJAC Focus-Mar. 4◇ https://t.co/lmX9rBFZFO This paper has proposed the PSOGSA to train NNs for motor imagery classification. The CSP method has used to extract the feature of an EEG signal. Using CSP, the data can be reduced from 59 dimensions to 10 dime
119 followers
119 followers
◇IJAC Today-8 Apr.◇ https://t.co/N33heuvNaM This paper has proposed the PSOGSA to train NNs for motor imagery classification. The CSP method has used to extract the feature of an EEG signal. Using CSP, the data can be reduced from 59 dimensions to 10 dimen
119 followers
◇IJAC Today-14 Nov.◇ https://t.co/E7MBQ0OGzc In order to overcome these issues, the MLP-NN trained by a hybrid population-physics-based algorithm, the combination of particle swarm optimization and gravitational search algorithm, is proposed for our classi