… neurons forming a neural network. To study the functional mechanism of the neural network,
it is … Brain-computer interface (BCI) refers to the connection established between the human/…

… , RBF, GRNN and other traditional shallow neural network algorithms in accuracy and
interpretability, as well as LSTM, DBN and other deep neural network algorithms; 2) In low dimen…

… Conditional probability neural network (CPNN) has special advantage in pattern classification
problems. However, how to find the optimal parameters of the CPNN to achieve better …

… artificial intelligence and neural networks, and then summarizes related technologies. We
highlight the relationship of artificial intelligence, machine learning, neural network and deep …

… neural networks, convolutional neural networks, long-short term memory neural networks
and neural networks … study and believe that deep neural network will be the main method to …

… sleep staging method based on other artificial neural networks. With the accurate sleep …
brain wave drawing, sleep quality assessment report, smart wake-up services and other functions…

… monitoring and modulating neural activities, implantable neural electrodes constitute the …
brain circuits and functions, treatment of various neurological diseases, and realization of brain-…

… colleagues demonstrated an fMRI study on different logical mechanisms indicating that the
cognitive processing of different logical mechanisms depends on separate neural networks. …

… Our general purpose Caffe deep neural network model (Github code) takes an image as
input and outputs a probability (ie a score between 0-1) which can be used to detect and filter …