Classification of Mental Task from EEG Data Using Neural Networks Based on Particle Swarm Optimization
碩士 === 朝陽科技大學 === 資訊工程系碩士班 === 94 === The BCI (Brain-Computer Interface) is a system which transforms the brain activity made by different mental task to produce the control signal. The system provides an augmentative communication method to those patients with severe motor disabilities. In this the...
Main Authors: | Chun-Te Wang, 王俊德 |
---|---|
Other Authors: | Cheng-Jian Lin |
Format: | Others |
Language: | en_US |
Published: |
2006
|
Online Access: | http://ndltd.ncl.edu.tw/handle/nwf52z |
Similar Items
-
Comprehensible Knowledge Discovery using Particle Swarm Optimization for Classification Tasks
by: Ying-fang Chan, et al.
Published: (2008) -
Classification of Motor Imagery EEG Signals with Support Vector Machines and Particle Swarm Optimization
by: Yuliang Ma, et al.
Published: (2016-01-01) -
Crop Classification by Forward Neural Network with Adaptive Chaotic Particle Swarm Optimization
by: Yudong Zhang, et al.
Published: (2011-05-01) -
Particle Swarm Optimization for Automatically Evolving Convolutional Neural Networks for Image Classification
by: Tom Lawrence, et al.
Published: (2021-01-01) -
Multi-Channel Convolutional Neural Networks Architecture Feeding for Effective EEG Mental Tasks Classification
by: Sławomir Opałka, et al.
Published: (2018-10-01)