… The neuro-fuzzy system integrated by neural network and … The neuro-fuzzy system in the
study has the framework of a five… rules are employed in the neuro-fuzzy system to compare …

… neuroscience and machine learning on creativity research should be strengthened. Based
on a certain theoretical framework … and combined the EEG and machine learning (ML), and …

… [Objective] This paper utilizes deep learning to recommend … Both schemes incorporated the
HAN deep learning framework to build … This study validates the advantages of deep learning …

… optimization learning methods, ensemble learning can not … machine learning problems to
get a more powerful solution. This paper reviews the development history of ensemble learning,…

Abstract: The linear non-Gaussian acyclic model (LiNGAM) has the advantage of being able
to completely identify the causal network only from the observational data without any prior …

… the results demonstrate that the learned feature representations in this paper for anomalous
patterns are superior to other traditional hand-crafted features and deep learning features. …

… recognition research based on deep learning and transfer learning. This paper firstly …
on the application of deep learning and transfer learning in EEG emotion recognition. Finally…

脑机接口旨在通过直接从大脑信号中实时解码用户意图来为辅助设备提供丰富,强大的命令信号.近年
来,脑机接口技术的理论和实际应用的研究进展迅速,技术日趋成熟,其应用领域也在不断扩大…

… of neurology[J]. Journal of International Neurology and Neurosurgery, 2019, 46(4): 439-442. …
Abstract: Neurology is based on the complex anatomical structures of the nervous system …

… , the deep learning has been applied in many image processing tasks. Deep learning shows
an … Finally, neuroscience suggests that anything human sees converges to a continuous …