Many countries, including China, are facing rapid population aging issues. Among middle-aged and older adults, depressive symptoms and sleep disturbances are associated with cognitive impairment.

Abstract: Radial basis function neural networks (RBFNNs) have been widely used in data modeling and prediction in recent years. However, an RBFNN does not perform well when it comes to practical ...

In this video, we will see What is Activation Function in Neural network, types of Activation function in Neural Network, why to use an Activation Function and which Activation function to use. The ...

Background: Radial artery access is the preferred approach for coronary procedures, however, radial artery spasm (RAS) and radial artery occlusion (RAO) remain frequent complications, and no ...

Abstract: The radial basis function neural network (RBFNN) is a learning model with better generalization ability, which attracts much attention in nonlinear system identification. Compared with the ...

ABSTRACT: We solve numerically an eigenvalue elliptic partial differential equation (PDE) ranging from two to six dimensions using the generalized multiquadric (GMQ) radial basis functions (RBFs). Two ...

The chemical composition of SM was analyzed using UPLC-ESI-MS/MS technology. Active bioactive components and potential targets of SM were identified using TCMSP, SwissDrugDesign, and SymMap platforms.

Radial Basis Function Neural Networks (RBFNNs) are a type of neural network that combines elements of clustering and function approximation, making them powerful for both regression and classification ...

Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request.

Religious fundamentalism is a global and enduring phenomenon. Measuring religious fundamentalism following focal brain damage may lend insight into its neural basis. We use lesion network mapping, a ...