A Classification of Motor Imagery Brain Signals Using Least Square Support Vector Machine and Chaotic Particles Swarm Optimization

Arwa N. Aledaily

doi:10.1007/978-3-030-02053-8_149

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A Classification of Motor Imagery Brain Signals Using Least Square Support Vector Machine and Chaotic Particles Swarm Optimization

Arwa N. Aledaily

Year: 2018 Advances in intelligent systems and computing Pages: 981-986 Publisher: Springer Nature

DOI: 10.1007/978-3-030-02053-8_149

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Keywords:

Motor imagery Particle swarm optimization Chaotic Support vector machine Computer science Artificial intelligence Set (abstract data type) Pattern recognition (psychology) Classifier (UML) Swarm behaviour Brain–computer interface Algorithm Electroencephalography Psychology

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EEG and Brain-Computer Interfaces

Life Sciences → Neuroscience → Cognitive Neuroscience

Blind Source Separation Techniques

Physical Sciences → Computer Science → Signal Processing

Neural Networks and Applications

Physical Sciences → Computer Science → Artificial Intelligence

A Classification of Motor Imagery Brain Signals Using Least Square Support Vector Machine and Chaotic Particles Swarm Optimization

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